Talk:Predictive modelling

message: I am removing the section(s) on FICO score accuracy. The section is not cited. I am not an expert on FICO, but I suspect that if it's supposed to indicate a certain percentage of defaults on average, it may mean that the FICO default rate will naturally rise in adverse economic environments, such as in 2009. If the section can be supported by a robust analysis of FICO scores, then it should be re-included.  — Preceding unsigned comment added by 134.215.213.254 (talk) 19:31, 28 August 2013 (UTC)
thread_title:  FICO Score Accuracy section

message: There is a separate wikipedia entry for Predictive analytics that appears to me to be covering largely the same material as this Predictive modeling entry.  And it is odd that the predictive modelling entry doesn't contain any links to predictive analytics.  To me, it looks like these two wikipedia entries should be combined.  My idea would be to incorporate some of the material from the predictive modelling entry into the predictive analytics entry, then establish a "re-direct", so that when someone types in "predictive modeling" they are brought to predictive analytics.  However, I'm an inexperienced wikipedia contributor, and am unaware of the general wikipedia conventions for consolidating articles like this.  I also do not want to offend the authors who have put lots of hard work into the two entries. -- So I merely want to bring up the idea here for discussion to see what others think of the idea.  Karl (talk) 15:33, 1 March 2014 (UTC)
thread_title: Predictive analytics vs. predictive modelling

message: Dr. Gogas has reviewed this Wikipedia page, and provided us with the following comments to improve its quality:
We hope Wikipedians on this talk page can take advantage of these comments and improve the quality of the article accordingly.
Dr. Gogas has published scholarly research which seems to be relevant to this Wikipedia article:
*Reference : Gogas, Periklis & Papadimitriou, Theophilos & Plakandaras, Vasilios, 2013. "Forecasting the insolvency of U.S. banks using Support Vector Machines (SVM) based on Local Learning Feature Selection," DUTH Research Papers in Economics 2-2013, Democritus University of Thrace, Department of Economics.
ExpertIdeas (talk) 02:30, 4 September 2015 (UTC)
thread_title:  Dr. Gogas's comment on this article 

message: The "notable failures" and "fundamental limitations" sections under "Applications" are written from the exclusive perspective of the 2008 financial crisis and the role that predictive modeling played. It sounds like the use of predictive modeling is being actively discouraged in light of these events. There is also a fair use of loaded language: "relying blindly on models that are essentially backforward looking in nature" (backfoward isn't proper English); "almost always wrong when the system involves people"; and the use of the word "spectacular" 3 times ("spectacular failures", "failed spectacularly", "spectacular debacle"). Looking through the article history, these sections appear to have been authored all by one person (https://en.wikipedia.org/wiki/Special:Contributions/Alpha1398). 
I think this section should be rewritten to conform to the standards for neutral point of view.
171.66.68.154 (talk) 00:04, 1 April 2016 (UTC)
thread_title:  Non-neutral point of view in applications 

message: This seems to be the same subject and principles than Machine Learning. At leat the word "prediction" and the examples match what can be done with ML. Malo77 (talk) 10:34, 21 April 2021 (UTC)
thread_title:  Possible merge with Machine Learning