# Recall Network: A Simple Brain-Inspired Algorithm for Classification

Authors: Zhaoning Tian; Ying Li; Zhenhua Li; Site Li
Journal: Computational Intelligence and Neuroscience
 (2022)

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## Abstract

The latest development of neuroscience has deepened the understanding of the information-processing mechanisms in the human brain and inspired a couple of sophisticated computational methods, such as deep learning, memory networks, and hierarchical temporal memory. However, it remains a challenge to explore simpler models due to the high computational cost of the above-mentioned methods. This paper proposes recall network (RN), an intuitive and simple model, that initializes itself by constructing the network path derived from the correlation of features in the training dataset and then makes classification decisions by recalling the paths that are relevant to the features in the test set. The algorithm has been applied to 263 datasets available from UCI Machine Learning Repository, and the classification results of repeated 10-fold cross-validation experiments on Weka demonstrate its competitive performance with prestigious classification algorithms, such as ANN, J48, and KNN.


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## Body

## 1. Introduction

Brain-inspired algorithms, like artificial neural networks, have shown great success in solving numerous problems in multiple fields for many years. Recently, the development of brain science and neuroscience has deepened the understanding of brain information-processing mechanisms and therefore inspires new generation computational models. For example, deep learning surpasses artificial neural networks (ANNs) in terms of both complexity and capability [1–3], and later in 2015, memory networks (MemNN) came with a long-term memory component [4, 5]; on the other hand, hierarchical temporal memory (HTM) builds a tree-shaped hierarchy of levels where the higher level gets input from results from the next lower level [6, 7]. Bin Hu etc. suggested that it is a feasible way to reconstruct cortical networks with dynamic activities instead of using only artificial computing networks [8].Those algorithms have a trend of being more and more sophisticated. However, designing simpler models is still worth exploring due to the high computational cost of the above-mentioned methods. This work proposes a straightforward model called recall network (RN), which is a memory network that stores, marks, and then retrieves the previous paths. A RN consists of nodes and edges (path), where a node represents an attribute (feature) value, while an edge connects between two nodes and denotes the number of samples that has both attribute values. For each sample, if we connect its attribute values consecutively, we can form an end-to-end route. During the prediction phase, the network determines its type by plural edges along the route. For example, if a route consists of three edges with 2 YES and 1 NO, then the result will be YES.This paper investigates the use and application of recall network in the realm of classification field. The objective of the study is to unveil the capabilities of this newly developed method on benchmark problems of classification. Compared with other classic approaches, the performance of the proposed algorithm is experimented and evaluated on Weka [9], a prestigious machine learning platform with the function of the fair comparison of algorithm performance. The results obtained verify the promising performance of the proposed algorithm.The remaining sections of the paper are organized as follows. The second section introduces the proposed algorithm with particular emphasis on its application in the classification field. In the third section, the concept of RN is compared with other similar algorithms. Classification examples proving the accuracy of the propose algorithm are covered in the fourth section. The fifth section discusses the difference between RN and some powerful classification methods. A brief conclusion of the study is given in the last section.


## 2. Structure and Algorithms

### 2.1. Structure of a Recall Network

A recall network is a group of connected layers, where every layer consists of similar nodes that represent the value for a certain attribute (see Figure1). Also, each connection or edge, expressed as a set, stores relations between connected nodes of previous samples, for the purpose of determining the output value of the edge of the pair nodes by their plurality.Figure 1
The diagram of a recall network.RN can be defined as an undirected graphG =  (N, E), consisting of the set N of nodes where nodes representing the same attribute are lined in one layer, and the set Eof edges, where each edge connects two nodes from adjacent layers.


### 2.2. Mechanism of Recall Network

Each training sample, called an instance in Weka, is represented by a route from a node in the first layer to the last one. Routes are piled up in the training process, and during the prediction phase, each predicted sample, also a route, is voted by each edge whose value was accumulated in the training stage.The above mechanism can be expressed as(1)f=Modee1,e2,e3,…,en,ei=Modeei1,ei2,ei3,…,eij,where e1, e2, e3,…, en are edges of the instance route from the 1st layer to the last one (n) and the Mode function is to get the mode of the edge set. In the same way, each edge ei gets the mode of plural connections of their adjacent nodes ei1, ei2, ei3, …, eij.The algorithm is simple to understand and cheap to implement, requiring only three easy steps: building a RN from instances (see Algorithm 1), training it by known data (see Algorithm 2), and using it to classify unknown samples (see Algorithm 3).Algorithm 1: Building a recall network from instances.
Input: number of attributes (N), number of categories for each discrete attribute, scope of value for each continuous attributeOutput: a network with N layers where each layer has different nodes corresponding to the intervals of an attributeInitialization of the Recall Network;fori ⟵ 1 tothe Number of attribute−1 doform ⟵ 1 tothe intervals of the ithattributedoforn ⟵ 1 tothe intervals of the (i + 1)thattributedoCreate two nodes: node (i,m) and node (i+1,n);Create an edge between them;Initializing classID vector of the edge;endendendAlgorithm 2: Teaching the recall network with the training dataset.
input: training dataoutput: the network weighted by all training examplesTraining the Recall Network;fori ⟵ 1 tothe number of examplesdoclassIndex = the class index of theith exampleforj ⟵ 1 tothe Number of attribute−1 do;RowNoj = the row number of the value in jth layer;RowNoj+1 = the row number the value in (j + 1)th layer;e = the edge between the Node (j, RowNoj) and Node (j, RowNoj+1);e.ClassVector[ClassIndex] + 1endendAlgorithm 3: Predicting the class by a trained recall network.
input: test dataoutput: the class of the dataDetermining the category by votes from all edges;fori ⟵ 1 tothe number of attributes−1 doRowNoi = the row number of the value in ith layer;RowNoi+1 = the row number the value in (i + 1)th layer;e = the edge between the Node (i, RowNoi) and Node (i, RowNoi+1);ResultVector+ = e.ClassVectorendreturn the mode in ResultVector


### 2.3. A Classification Example

To illustrate the proposed algorithm, an example is shown in Table1. In this example, our alrogithm aims to predict whether a given weather condition is suitable for playing tennis.Table 1
A classic example of playing tennis [10].
WeatherDayOutlookTemperatureHumidityWindPlayTennis1SunnyHotHighWeakNo2SunnyHotHighStrongNo3OvercastHotHighWeakYes4RainMildHighWeakYes5RainCoolNormalWeakYes6RainCoolNormalStrongNo7OvercastCoolNormalStrongYes8SunnyMildHighWeakNo9SunnyCoolNormalWeakYes10RainMildNormalWeakYes11SunnyMildNormalStrongYes12OvercastMildHighStrongYes13OvercastHotNormalWeakYes14RainMildHighStrongNoFigure2 shows how a RN is created based on Table 1. Here, the RN consists of 4 layers (attributes) with Outlook, Temperature, Humidity, and Wind. Each node represents a possible value for a weather attribute, and nodes that shared the same attribute are arranged in a column. Each edge connects two nodes from adjacent columns. If a given day (a row in Table 1) is suitable for playing tennis (PlayTennis = YES), then we add one blue edge between each adjacent pair of nodes, in which the node should correctly represent the value of a weather attribute on that day. If a given day is not suitable for playing tennis (PlayTennis = NO), we add red edges with similar criteria.Figure 2
The RN graph corresponding to Table1.To predict a new sample with following weather condition: Rain, Mild, High, Strong, first, we idenfity the set of 4 nodes that represent that weather condition in Figure2. Then, we find all the edges (Rain-Mild, Mild-High, High-Strong) that connects each pair of nodes within that set. Finally, we group those edges by color and count them in Figure 2. In this example, we got 3 red edges and 5 blue edges and therefore, this sample is likely to be classified as PlayTennis = YES (5 blues win 3 reds). However, if we got the same number of red and blue edges, the system will choose the color of the first edge in the edge set.


### 2.4. Appropriated Problems

Apparently, the proposed approach can naturally be used for discrete values and categorical values, and datasets with missing or error values are tolerated.For continuous values, it divides the data range into a couple of intervals, and each interval is regarded as a discrete value. As for the data missing case, the missing node will be skipped.


## 2.1. Structure of a Recall Network

A recall network is a group of connected layers, where every layer consists of similar nodes that represent the value for a certain attribute (see Figure1). Also, each connection or edge, expressed as a set, stores relations between connected nodes of previous samples, for the purpose of determining the output value of the edge of the pair nodes by their plurality.Figure 1
The diagram of a recall network.RN can be defined as an undirected graphG =  (N, E), consisting of the set N of nodes where nodes representing the same attribute are lined in one layer, and the set Eof edges, where each edge connects two nodes from adjacent layers.


## 2.2. Mechanism of Recall Network

Each training sample, called an instance in Weka, is represented by a route from a node in the first layer to the last one. Routes are piled up in the training process, and during the prediction phase, each predicted sample, also a route, is voted by each edge whose value was accumulated in the training stage.The above mechanism can be expressed as(1)f=Modee1,e2,e3,…,en,ei=Modeei1,ei2,ei3,…,eij,where e1, e2, e3,…, en are edges of the instance route from the 1st layer to the last one (n) and the Mode function is to get the mode of the edge set. In the same way, each edge ei gets the mode of plural connections of their adjacent nodes ei1, ei2, ei3, …, eij.The algorithm is simple to understand and cheap to implement, requiring only three easy steps: building a RN from instances (see Algorithm 1), training it by known data (see Algorithm 2), and using it to classify unknown samples (see Algorithm 3).Algorithm 1: Building a recall network from instances.
Input: number of attributes (N), number of categories for each discrete attribute, scope of value for each continuous attributeOutput: a network with N layers where each layer has different nodes corresponding to the intervals of an attributeInitialization of the Recall Network;fori ⟵ 1 tothe Number of attribute−1 doform ⟵ 1 tothe intervals of the ithattributedoforn ⟵ 1 tothe intervals of the (i + 1)thattributedoCreate two nodes: node (i,m) and node (i+1,n);Create an edge between them;Initializing classID vector of the edge;endendendAlgorithm 2: Teaching the recall network with the training dataset.
input: training dataoutput: the network weighted by all training examplesTraining the Recall Network;fori ⟵ 1 tothe number of examplesdoclassIndex = the class index of theith exampleforj ⟵ 1 tothe Number of attribute−1 do;RowNoj = the row number of the value in jth layer;RowNoj+1 = the row number the value in (j + 1)th layer;e = the edge between the Node (j, RowNoj) and Node (j, RowNoj+1);e.ClassVector[ClassIndex] + 1endendAlgorithm 3: Predicting the class by a trained recall network.
input: test dataoutput: the class of the dataDetermining the category by votes from all edges;fori ⟵ 1 tothe number of attributes−1 doRowNoi = the row number of the value in ith layer;RowNoi+1 = the row number the value in (i + 1)th layer;e = the edge between the Node (i, RowNoi) and Node (i, RowNoi+1);ResultVector+ = e.ClassVectorendreturn the mode in ResultVector


## 2.3. A Classification Example

To illustrate the proposed algorithm, an example is shown in Table1. In this example, our alrogithm aims to predict whether a given weather condition is suitable for playing tennis.Table 1
A classic example of playing tennis [10].
WeatherDayOutlookTemperatureHumidityWindPlayTennis1SunnyHotHighWeakNo2SunnyHotHighStrongNo3OvercastHotHighWeakYes4RainMildHighWeakYes5RainCoolNormalWeakYes6RainCoolNormalStrongNo7OvercastCoolNormalStrongYes8SunnyMildHighWeakNo9SunnyCoolNormalWeakYes10RainMildNormalWeakYes11SunnyMildNormalStrongYes12OvercastMildHighStrongYes13OvercastHotNormalWeakYes14RainMildHighStrongNoFigure2 shows how a RN is created based on Table 1. Here, the RN consists of 4 layers (attributes) with Outlook, Temperature, Humidity, and Wind. Each node represents a possible value for a weather attribute, and nodes that shared the same attribute are arranged in a column. Each edge connects two nodes from adjacent columns. If a given day (a row in Table 1) is suitable for playing tennis (PlayTennis = YES), then we add one blue edge between each adjacent pair of nodes, in which the node should correctly represent the value of a weather attribute on that day. If a given day is not suitable for playing tennis (PlayTennis = NO), we add red edges with similar criteria.Figure 2
The RN graph corresponding to Table1.To predict a new sample with following weather condition: Rain, Mild, High, Strong, first, we idenfity the set of 4 nodes that represent that weather condition in Figure2. Then, we find all the edges (Rain-Mild, Mild-High, High-Strong) that connects each pair of nodes within that set. Finally, we group those edges by color and count them in Figure 2. In this example, we got 3 red edges and 5 blue edges and therefore, this sample is likely to be classified as PlayTennis = YES (5 blues win 3 reds). However, if we got the same number of red and blue edges, the system will choose the color of the first edge in the edge set.


## 2.4. Appropriated Problems

Apparently, the proposed approach can naturally be used for discrete values and categorical values, and datasets with missing or error values are tolerated.For continuous values, it divides the data range into a couple of intervals, and each interval is regarded as a discrete value. As for the data missing case, the missing node will be skipped.


## 3. Conceptual Comparison of RN with Similar Algorithms

Though RN is a novel algorithm, its structure is still similar to artificial neural network (ANN) and the memory method like pheromone in ant colony optimization (ACO); after all, it is a simple, intuitive, and high readability brain-inspired algorithm.


### 3.1. Compared with the ANN

The RN shares the same biological motivation and similar network structure with ANN; however, there are three main differences.(1)
The meaning of nodes is totally different. A node in ANN represents the summation of inputs while it works only as an identifier in RN.(2)
Structure is more flexible in ANN but not in RN, since the number of RN layers is decided strictly by the number of attributes, and the number of nodes should equal the number of intervals of the attribute.(3)
Though ANN is an effective algorithm in many fields, it is a “black box,” while RN is more explainable.


### 3.2. Compared with the MemNN

MemNN, strictly speaking, is more like a system consisting of a set of memory and inference modules than an independent algorithm. The idea that retrieves the most relevant memory is similar to RN; however, RN is much simpler: it does not need to compress and transform the input or use complex functions to score memories. On the contrary, RN just stores the input as it is and then returns the vote based on the majority marks of the same kind.


### 3.3. Compared with the HTM

Like HTM, RN simulates the mechanism of the cerebral cortex and memorizes patterns for solving problems, but RN has only one “level” and therefore spares the transformation process from lower levels to higher levels; moreover, RN uses a very primitive method—voting—to identify the patterns.


### 3.4. Compared with the ACO

RN is similar to ACO in the idea of “pheromone.” As long as a sample passes through a network route, each segment (edge) in the route will get a permanent mark, and such a mark will never decay along with the time, unlike ACO. We argue that RN more meets biological characteristics of the brain: memories learned by brain will hardly disappear completely, and they will be recalled when a similar event triggers even through a long period.


### 3.5. Comparison of the Mechanism, Computing Complexity, and Structure

To distinguish the RN further, we analyze RN in terms of mechanism, time complexity, space complexity, and structure (Table2).Table 2
Comparison with similar algorithms in terms of mechanism, complexity, and structure (pictures of NN, MemNN, HTM, and ACO are copied fromhttps://www.wikipedia.com; the time complexity and space complexity of ANN and MemNN are collected from [11–17]).
AlgorithmMechanismTime complexitySpace complexityStructureRNSum up the votes in an end-to-end routeO (n ∗ d ∗ m)O (n ∗ d)ANNA linear combination of neurons and weightsO∑l=1DMl2∗Kl2∗Cl−1∗ClO∑l=1DKl2∗Cl−1∗Cl+∑l=1DM2∗ClMemNNSearch the most relevant memory slot step by step until the answer is foundO∑l=1Dn∗d2O∑l=1Dn+MHTMThe lower level outputs the generated pattern to higher levels hierarchically\\ACOGood paths are encouraged to repeat while random exploration is still maintained\\In a summary, RN is a distinctive brain-inspired algorithm. Although its network structure is similar to ANN, and its memory mechanisms is similar to MemNN, HTM, and ACO, RN is the simplest of them all.


## 3.1. Compared with the ANN

The RN shares the same biological motivation and similar network structure with ANN; however, there are three main differences.(1)
The meaning of nodes is totally different. A node in ANN represents the summation of inputs while it works only as an identifier in RN.(2)
Structure is more flexible in ANN but not in RN, since the number of RN layers is decided strictly by the number of attributes, and the number of nodes should equal the number of intervals of the attribute.(3)
Though ANN is an effective algorithm in many fields, it is a “black box,” while RN is more explainable.


## 3.2. Compared with the MemNN

MemNN, strictly speaking, is more like a system consisting of a set of memory and inference modules than an independent algorithm. The idea that retrieves the most relevant memory is similar to RN; however, RN is much simpler: it does not need to compress and transform the input or use complex functions to score memories. On the contrary, RN just stores the input as it is and then returns the vote based on the majority marks of the same kind.


## 3.3. Compared with the HTM

Like HTM, RN simulates the mechanism of the cerebral cortex and memorizes patterns for solving problems, but RN has only one “level” and therefore spares the transformation process from lower levels to higher levels; moreover, RN uses a very primitive method—voting—to identify the patterns.


## 3.4. Compared with the ACO

RN is similar to ACO in the idea of “pheromone.” As long as a sample passes through a network route, each segment (edge) in the route will get a permanent mark, and such a mark will never decay along with the time, unlike ACO. We argue that RN more meets biological characteristics of the brain: memories learned by brain will hardly disappear completely, and they will be recalled when a similar event triggers even through a long period.


## 3.5. Comparison of the Mechanism, Computing Complexity, and Structure

To distinguish the RN further, we analyze RN in terms of mechanism, time complexity, space complexity, and structure (Table2).Table 2
Comparison with similar algorithms in terms of mechanism, complexity, and structure (pictures of NN, MemNN, HTM, and ACO are copied fromhttps://www.wikipedia.com; the time complexity and space complexity of ANN and MemNN are collected from [11–17]).
AlgorithmMechanismTime complexitySpace complexityStructureRNSum up the votes in an end-to-end routeO (n ∗ d ∗ m)O (n ∗ d)ANNA linear combination of neurons and weightsO∑l=1DMl2∗Kl2∗Cl−1∗ClO∑l=1DKl2∗Cl−1∗Cl+∑l=1DM2∗ClMemNNSearch the most relevant memory slot step by step until the answer is foundO∑l=1Dn∗d2O∑l=1Dn+MHTMThe lower level outputs the generated pattern to higher levels hierarchically\\ACOGood paths are encouraged to repeat while random exploration is still maintained\\In a summary, RN is a distinctive brain-inspired algorithm. Although its network structure is similar to ANN, and its memory mechanisms is similar to MemNN, HTM, and ACO, RN is the simplest of them all.


## 4. Experiments and Results

### 4.1. Testing Tool

To evaluate the performance of the proposed algorithm, we chose Weka, a prestigious machine learning platform that gives a fair comparison among different algorithms. No doubt, Weka is one of the most popular tools to research machine learning algorithms. A number of scientists use this software to study classification problems, for example, Arora and Suman tested J48 and MLP on 5 UCI datasets [18]; Kiranmai and Laxmi classified power quality problems using Weka and studied the effect of attributes on classification accuracy [19]; Mhetre and Nagar adopted Weka to compare four classification algorithms (Naive Bayes, J48, ZeroR, and random tree) on education datasets [20]; Farhat et al. compared the performance of SVM, KNN, NB, logistic regression, decision tree, and random forest on intrusion detection data [21]; Villavicencio et al. studied J48 decision tree, random forest, SVM, KNN, and NB on the COVID-19 Symptoms and Presence dataset from Kaggle [22].It can be seen from the above research that SVM, KNN, J48, NB, and OneR are competitive methods in the classification field. However, the above research works focus on limited field or limited datasets. In this paper, we used all available data to study the performance comparison.


### 4.2. Testing Data

The test problem includes 263 UCI datasets from UCI Machine Learning Repository. Although the repository offers 466 datasets in total, 121 are too big for Weka, 20 are missing, 53 are for natural language processing, and 9 are pictures. Somehow, the rest still represent a wide range of domains and data characteristics, whose detailed description is listed in Table3. In a word, all available data in UCI Repository are used for testing.Table 3
Description of datasets.
NoDatasetExamplesAttributesClassesMissingvalueNumricvalue1Abalone417793NY2Absenteeism-at-work740202NY3Acute-inflammation12072NY4Acute-nephritis12072NY5Adult1628152NY6Aggregation78837NY7Algerianforest243142NY8Annealing798325NY9Arrhythmia45226313NY10Au1 10001000212NY11Au4-250010001013NY12Au6-10001000418NY13Au6-250-drift-au6-cd1-500750418NY14Au6-cd1-400400418NY15Au7-300-drift-au7-cpd1-8001100135NY16Au7-700700135NY17Au7-cpd1-500500135NY18Audiology-std1716018NY19Audit-risk776252YY20Autism-adolescent-data104212YN21Autism-adult-data704212YN22Autism-child-data292212YN23Autos205267YY24Avila41721112NY25Balance-scale62553NY26Balloons1652NY27Bank4521172NY28Blood74852NY29Breast-cancer-wisc-diag569312NY30Breast-cancer-wisc-prog198342NY31Breast-cancer-wisc699102NY32Breast-cancer286102NY33Breast-tissue106106NY34Bupa34572NY35Caesarean8062NN36Car172874NY37Cardiotocography-10classes21262210NY38Cardiotocography-3classes2126223NY39Cervical-cancer72202NY40Chemicalcomposionofceramic88182NY41Chess-krvk2805718NY42Chess-krvkp3196372NY43Congressional-voting435172NY44Conn-bench-sonar-mines-rocks208612NY45Conn-bench-vowel-deterding5281211NY46Connect-43377432NY47Connectionist207612NY48Contrac1473103NY49COVID-191483NN50Credit-approval690162NY51Crowdsource2109296NY52Crx690162YN53Cryother9072NY54Cylinder-bands512362NY55Dbworld-bodies6447032NN56Dbworld-bodies-stemmed6437222NN57Dbworld-subjects642432NN58Dbworld-subjects-stemmed642302NN59Dermatology366356NY60Diabetes76892NY61Diabetic1151202NY62Divorce170552NN63Dota2train9261162NN64Dow-jones-index749152YY65Dry-bean-dataset3402177NY66Early-stage-diabetes-data-upload520172NN67Echocardiogram131112NY68Ecoli33688NY69Eegeyesate14980152NY70Electrical312142NY71Energy-y176893NY72Energy-y276893NY73Extentionofz-alizadehsani303592NY74Fertility100102NY75First-order1529572NY76Flags194298NY77Foresttypes198284NY78Garments-worker-productivity1197145YY79Gender-name-dataset460232NY80Gesture-a1-raw1747205NY81Gesture-a1-va31743335NY82Gesture-a2-raw1264205NY83Gesture-a2-va31260335NY84Gesture-a3-raw1834205NY85Gesture-a3-va31830335NY86Gesture-b1-raw1073206NY87Gesture-b1-va31069335NY88Gesture-b3-raw1424205NY89Gesture-b3-va31420335NY90Gesture-c1-raw1111205NY91Gesture-c1-va31107335NY92Gesture-c3-raw1448205NY93Gesture-c3-va31444335NY94Glass214106NY95Go-track-tracks16392NY96Haberman-survival30642NY97Hayes-Roth13243NY98Hcc-data165502YN99Hcvdat615135NY100Heart-Cleveland303145NY101Heart-Hungarian294132NY102Heart-Switzerland123135NY103Heart-va200135NY104Heart-failure-clinical-records-dataset299132NY105Hepatitis155202NY106Hill-valley6061012NY107Hiv1625data162592NN108Hiv746data74692NN109Horse-colic300262NY110Htru1789892NY111Hypothyroid3772304YN112Ibeacon-rssi-labeled142014105NY113Ilpd-Indian-liver583102NY114Image-segmentation210197NY115Immunotherapy9082NY116Impensdata94792NN117In-vehicle-coupon-recommendation12684242YN118Indian583112YY119Ionosphere351342NY120Iris15053NY121Jain37232NY122Jsbach-chorals-harmony5665152NN123Knowledge17264NY124Lasvegastripadvisorreviews504197NN125Leaf3401630NY126Led-display1000810NY127Lenses2453NY128Letter200001726NY129Libras3609115NY130Low-res-spect5311019NY131Lung-cancer32573NY132Lymphography148194NY133Magic1902112NY134Mammographic96162NY135Miniboone1300512NY136Molec-biol-promoter106582NY137Molec-biol-splice3190613NY138Monks-112472NY139Monks-216972NY140Monks-312272NY141Mushroom8124222NY142Musk-14761672NY143Musk-232991672NY144Newdiagnosis12072NN145Nursery1296095NY146Obesitydataset-raw-and-data-sinthetic2111177NN147Obs-network-dataset-2-aug271075224YY148Occupancy-data266572NY149Occupancy-data2975272NY150Occupancy-data3814372NY151Old2456312NN152Online-shoppers-intention12330182NY153Oocytes-merluccius-nucleus-4d1022422NY154Oocytes-merluccius-states-2f1022263NY155Oocytes-trisopterus-nucleus-2f912262NY156Oocytes-trisopterus-states-5b912333NY157Optdigits56206510NY158Optical38236310NY159Ozone2536732NY160Page-blocks5473115NY161Parkingbirmingham3571330NY162Parkinsons195232NY163Pasture36233NY164Pbc418192YY165Pen109921710NY166Pendigits74941710NY167Pharynx195122YN168Phishingwebsites11055312NN169Pima76892NY170Pittsburg-bridges-rel-l10383NY171Pittsburg-bridges-span9283NY172Pittsburg-bridges-t-or-d10282NY173Pittsburg-bridges-type10586NY174Pittsburg-bridgesmaterial10683NY175Planning182132NY176Plant-margin160065100NY177Plant-shape160065100NY178Plant-texture159965100NY179Poker-hand-training-true250101110NY180Post-operative9093NY181Primary-tumor3301815NY182Qsarbioconcentration779122NY183Qsarbiodegradation1055422NY184Qualitative-bankruptcy25072NN185Ringnorm7400212NY186Risk-factors-cervical-cancer858362YY187Robotnavigation5456254NY188Sapfile131223NN189Sat6435376NY190Satellite6435376NY191Scadi702067NN192Schillingdata327292NN193Seeds21083NY194Segment2310207NY195Seismic-bumps2584192NY196Semeion159325710NY197Setapprocesst164852NY198Setapprocesst1074852NY199Setapprocesst1174852NY200Setapprocesst274852NY201Setapprocesst374852NY202Setapprocesst463852NY203Setapprocesst574852NY204Setapprocesst674852NY205Setapprocesst774852NY206Setapprocesst874852NY207Setapprocesst974852NY208Shillbiddingdataset632192NY209Shuttle-landing-control1572NN210Somervillehappinesssurvey201514372NN211Sonar208612NY212Soybean3073618NY213Spambase4601582NY214Speaker-accent329136NY215Spect79232NY216Spectf80452NY217Statlog-Australian-credit690152NY218Statlog-German-credit1000252NY219Statlog-heart270142NY220Statlog-image2310197NY221Statlog-landsat4435376NY222Statlog-shuttle43500107NY223Statlog-vehicle846194NY224Steel-plates1941287NY225Synthetic-control600616NY226Teaching15163NY227Thoraricsurgery470172NN228Thyroid21563NY229Thyroid-train3772223NY230Tic-tac-toe958102NY231Titanic220142NY232Trains10302NY233Transfusion74852NY234Trial776172YY235Turkiye-student-evaluation5820343NY236Unbalanced856332NY237Urbanlandcover1681489NY238Userknowledgemodeling25264NY239Vehicle846194NY240Vertebral-column-2classes31072NY241Vertebral-column-3classes31073NY242Veteran13782NY243Vowel9901411NY244Wall-following5456254NY245Waveform-noise5000413NY246Waveform5000223NY247Wbc683102NN248Wdbc569312NY249Weathernominal1452NN250Weathernumeric1452NN251Website-phishingdata1353103NN252Wholesalecustomersdata44082NY253Wifi-localization200084NY254Wilt483962NY255Wine-quality-red1599126NY256Wine-quality-white4898127NY257Wine178143NY258Yamilnaduelectricty9156420NY259Yeast1484910NY260Youtobe-kabita-preprocessing490087YY261Youtobe-nisha-preprocessing490087NY262Z-alizadehsani303562NY263Zoo101177NY


### 4.3. Method

The RN is published onhttps://github.com/tianzhaoning/RRN/releases/download/RecallNetwork/RN.zip, and we then retrieved them back to Weka on a local machine to compare with others. In all experiments, 10 runs of 10-fold cross validation are used to average the results.To illustrate the performance of the proposed method, we chose some competitive classification algorithms, such as Naive Bayes (NB), support vector machine (SVM), decision tree (J48), K-nearest neighbors (KNN), artificial neural network (ANN), and OneR (since it is also a very simple decision tree algorithm), on a bulk of benchmark data.All algorithms use default parameters supplied by Weka, for the purpose of fair play. However, we applied two more parameters on SVM and one more on ANN besides the default setting to explore the effect under different configurations.As for SVM, we took the default as the SVM1, changing the following parameters: degree, gamma, cachesize, cost, E-eps, and theP value (the value of the loss function in e-SVR). As for ANN, we took the default as ANN1, we change the learning rate and the momentum. The specific values of super-parameters are shown in Table 4.Table 4
The parameters of SVM and ANN.
DegreeGammaCacheCostE-epsP valueSVM130.54010.0010.1SVM240.65020.0020.2SVM350.76030.0010.3Learning rateMomentumANN10.30.2ANN20.40.3In the process of statistical analysis, this paper adopts the Friedman test, which is a non-parametric test method using rank to realize whether there are significant differences in multiple population distributions, and ANOVA to test the remarkable mean difference among multiple groups. If both results are yes, we then use the Tukey HSD test to make pair-wise comparisons.


### 4.4. Performance Metrics

Totally, we evaluate the classification performance with the following indicators [23, 24]:(1)
Accuracy (ACC): number of correctly predicted items divided by the total of the item to predict. It is the most important metric to measure classification performance. In this work, we use mean ACC: the average of each accuracy per dataset, which represents the average performance over all tasks.(2)
Kappa statistic (k): a measure of how much better the classification results are compared to classification labels assigned by random chance. Generally, in terms of degree of agreement, k ≤ 0 is interpreted as indicating no agreement, 0.01–0.20 as none to slight, 0.21–0.40 as fair, 0.41–0.60 as moderate, 0.61–0.80 as substantial, and 0.81–1.00 as almost perfect agreement.(3)
Root mean squared error (RMSE): the standard deviation of the residuals (prediction errors). This is another indicator of model accuracy.(4)
Mean absolute error (MAE): the average difference between the prediction result and the true value. MAE can avoid the problem of error cancellation, so it can reflect the actual prediction error.(5)
Relative absolute error (RAE): sum of the absolute value of the forecast errors divided by the sum of the absolute values of the mean errors. The RAE considers each error equally important. The better the model is, the closer its RAE is to 0.(6)
Root relative squared error (RRSE): square root of the relative squared error (RSE) where RSE means the sum of squared errors of a predictive model normalized by the sum of squared mean errors. It tells how well a model performs relative to the average of the true values.(7)
Running time: the executed time of an algorithm on data. It is an intuitive measurement of the time complexity in the real environment. In this paper, we use total time instead of running time per dataset, since Weka does not provide the detailed time on each experiment.Generally, 10 runs of 10-fold cross validation must be used to average the above results [25] with the exception of run time, which uses the total time.


### 4.5. Results

Table5 and Figure 3 show the average performance of each algorithm on all datasets. The detailed results are listed in Tables 6–11 which present the accuracy (ACC), kappa statistic (k), root mean squared error (RMSE), mean absolute error (MAE), relative absolute error (RAE), root relative squared error (RRSE), and their standard deviation of each model on each dataset, respectively.Table 5
Performance of all models among 263 datasets.
Average accuracy (%)Kappa statisticRoot mean squared errorMean absolute errorRelative absolute error (%)Root relative squared error (%)Total running time (i7, 16G)RN73.570.420.330.2779.0883.253,780sNB72.050.500.340.1960.7485.5160sJ4878.530.590.280.1644.7670.59180sKNN76.870.560.320.1645.2480.47780sSVM171.960.420.360.1749.0490.038,100sSVM272.660.440.360.1747.9588.268,100sSVM373.010.450.350.1647.4887.198,100sANN177.950.590.280.1543.6169.9334.080sANN277.840.590.280.1543.2770.6634.080sOneR67.160.400.390.1956.7498.8660sFriedman ranked testQ (95% threshold: 21.67)218.45320.03467.68555.13575.90460.46—ANOVAF (95% threshold: 1.88)8.2015.0513.1316.4829.3518.82—Figure 3
6 performance metrics of 10 models on 263 datasets.Table 6
The detailed experimental results on accuracy and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone58.87  ±  2.7957.65 ± 2.0460.69 ± 1.9757.94 ± 2.5066.63 ± 2.4766.98 ± 2.3666.94 ± 2.2565.55 ± 3.3865.62 ± 4.1360.95 ± 1.79Absenteeism-at-work98.92 ± 1.5386.08 ± 3.6199.73 ± 0.5783.65 ± 2.8884.73 ± 2.9984.73 ± 2.9984.73 ± 2.9997.70 ± 1.1196.89 ± 2.2195.27 ± 1.72Acute-inflammation100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0079.17 ± 8.10Acute-nephritis100.00 ± 0.0095.00 ± 7.03100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0091.67 ± 7.86Adult76.04 ± 0.0680.41 ± 2.4981.76 ± 3.2978.38 ± 3.5983.29 ± 4.1183.41 ± 4.1583.35 ± 4.2980.71 ± 3.2780.10 ± 3.0780.34 ± 1.30Aggregation84.64 ± 5.3899.87 ± 0.4099.62 ± 0.6199.87 ± 0.4199.87 ± 0.4199.75 ± 0.5499.75 ± 0.5499.24 ± 0.8999.24 ± 1.0759.64 ± 2.89Algerianforest89.35 ± 7.8694.67 ± 4.7395.50 ± 4.5388.10 ± 6.7058.85 ± 1.6961.73 ± 4.2861.73 ± 4.2895.92 ± 3.8596.75 ± 4.5897.15 ± 4.75Annealing76.19 ± 0.1370.43 ± 4.4596.50 ± 2.2789.35 ± 2.1388.98 ± 3.1591.48 ± 2.5492.11 ± 2.1291.11 ± 3.5790.86 ± 3.3983.71 ± 0.09Arrhythmia54.20 ± 1.0260.85 ± 7.4464.38 ± 7.0853.55 ± 3.2661.72 ± 2.5765.49 ± 3.4764.60 ± 4.2066.38 ± 5.1756.26 ± 13.1059.51 ± 2.65Au1-100074.10 ± 0.3272.80 ± 1.4077.90 ± 4.4366.70 ± 4.7274.10 ± 0.3274.10 ± 0.3274.40 ± 0.8468.80 ± 3.7971.00 ± 3.6874.10 ± 0.32Au4-250062.60 ± 6.1157.30 ± 4.3072.40 ± 5.7463.60 ± 4.3561.50 ± 2.6861.50 ± 2.6861.50 ± 2.6864.70 ± 4.8864.90 ± 4.8953.60 ± 4.27Au6-100023.70 ± 1.3418.70 ± 2.9519.40 ± 4.0313.40 ± 3.7824.00 ± 0.0024.00 ± 0.0024.00 ± 0.0014.60 ± 3.2013.30 ± 4.1424.30 ± 2.21Au6-250-drift-au6-cd1-50022.13 ± 2.4520.40 ± 4.7519.33 ± 4.3716.27 ± 4.2522.00 ± 0.7022.00 ± 0.7022.00 ± 0.7014.93 ± 2.8015.73 ± 3.3124.53 ± 3.45Au6-cd1-40028.75 ± 6.6925.75 ± 6.3537.00 ± 6.8517.75 ± 7.9527.75 ± 0.7927.75 ± 0.7927.75 ± 0.7921.00 ± 6.2620.00 ± 6.0131.75 ± 6.57Au7-300-drift-au7-cpd1-80028.64 ± 4.1234.18 ± 3.7237.91 ± 4.3532.00 ± 4.2628.36 ± 1.6527.64 ± 1.9327.64 ± 1.9333.45 ± 3.5835.36 ± 4.3024.91 ± 3.10Au7-70041.00 ± 6.3242.00 ± 5.3552.29 ± 4.0035.57 ± 5.5737.29 ± 2.8936.43 ± 2.3636.43 ± 2.3641.29 ± 5.2443.57 ± 3.7644.71 ± 3.81Au7-cpd1-50039.40 ± 2.5038.20 ± 5.9253.40 ± 4.6237.80 ± 5.6938.20 ± 1.1438.60 ± 1.6538.60 ± 1.6539.40 ± 6.4038.00 ± 5.6640.20 ± 4.85Audiology-std28.07 ± 4.6273.04 ± 10.9176.05 ± 7.4674.18 ± 11.9263.14 ± 7.9467.81 ± 10.1670.75 ± 8.3384.15 ± 6.2983.01 ± 4.4347.39 ± 2.12Audit-risk90.72 ± 3.8894.59 ± 1.9899.87 ± 0.4197.81 ± 1.2298.45 ± 1.3398.71 ± 1.3598.84 ± 1.4196.91 ± 2.7296.78 ± 2.72100.00 ± 0.00Autism-adolescent-data80.82 ± 7.8698.00 ± 4.22100.00 ± 0.0090.45 ± 6.3996.18 ± 4.9495.27 ± 4.9996.18 ± 4.9489.45 ± 10.3489.45 ± 10.34100.00 ± 0.00Autism-adult-data83.94 ± 3.4297.01 ± 2.64100.00 ± 0.0094.89 ± 3.8499.29 ± 1.0099.57 ± 0.9699.43 ± 1.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00Autism-child-data91.75 ± 5.2098.97 ± 1.67100.00 ± 0.0088.34 ± 3.7499.66 ± 1.09100.00 ± 0.00100.00 ± 0.0099.66 ± 1.0999.66 ± 1.09100.00 ± 0.00Autos71.67 ± 10.0056.62 ± 12.8082.88 ± 7.7976.43 ± 10.0434.64 ± 4.3435.62 ± 5.2135.62 ± 5.2177.00 ± 6.3277.02 ± 4.8262.36 ± 9.87Avila97.20 ± 0.7627.16 ± 2.2494.01 ± 1.2475.60 ± 2.7167.76 ± 2.1369.94 ± 1.8771.38 ± 2.3161.72 ± 1.7161.98 ± 3.0571.45 ± 2.52Balance-scale79.67 ± 2.4590.39 ± 1.7276.65 ± 3.7780.97 ± 4.4590.40 ± 1.5392.80 ± 0.8693.60 ± 1.3290.70 ± 3.7991.02 ± 3.7556.33 ± 4.39Balloons65.00 ± 41.1660.00 ± 31.6265.00 ± 33.7575.00 ± 35.3670.00 ± 34.9680.00 ± 34.9680.00 ± 34.9675.00 ± 26.3575.00 ± 26.3545.00 ± 36.89Bank88.48 ± 0.0683.70 ± 1.1088.79 ± 1.1486.09 ± 1.3589.54 ± 0.6189.69 ± 0.5689.83 ± 1.0688.59 ± 0.8988.39 ± 1.6588.56 ± 0.62Blood76.88 ± 1.3474.47 ± 2.9777.81 ± 3.7769.91 ± 4.2778.48 ± 2.0979.01 ± 1.5478.48 ± 1.4478.21 ± 2.4778.48 ± 2.8076.34 ± 1.66Breast-cancer-wisc-diag93.68 ± 3.7192.98 ± 4.3093.33 ± 3.9495.96 ± 1.8797.54 ± 2.2297.89 ± 1.9998.24 ± 1.1796.13 ± 2.0096.48 ± 2.0489.11 ± 4.11Breast-cancer-wisc-prog76.29 ± 2.1067.66 ± 11.4074.24 ± 7.2972.79 ± 9.0579.32 ± 6.0178.26 ± 8.9577.79 ± 9.5773.79 ± 10.9174.26 ± 13.1070.11 ± 7.77Breast-cancer-wisc96.13 ± 2.4495.85 ± 1.7293.85 ± 3.1695.56 ± 2.9797.14 ± 1.9196.99 ± 1.9696.71 ± 1.9194.85 ± 3.7695.57 ± 2.0792.71 ± 4.54Breast-cancer70.64 ± 1.4972.03 ± 5.9671.71 ± 4.2270.28 ± 7.7373.83 ± 5.2573.13 ± 5.4772.07 ± 5.2572.45 ± 6.5468.90 ± 2.7670.32 ± 5.22Breast-tissue68.00 ± 13.7566.36 ± 14.9266.45 ± 15.6571.64 ± 13.9458.36 ± 14.4767.82 ± 16.5269.82 ± 16.6764.09 ± 8.9863.18 ± 15.7654.55 ± 9.71Bupa67.55 ± 5.0357.17 ± 8.5362.87 ± 9.0161.75 ± 4.9558.86 ± 2.2759.15 ± 2.4559.15 ± 2.4566.66 ± 7.5869.29 ± 6.2854.24 ± 7.87Caesarian73.75 ± 13.7665.00 ± 21.0857.50 ± 17.8761.25 ± 18.1155.00 ± 6.4562.50 ± 11.7958.75 ± 16.7256.25 ± 19.7656.25 ± 20.6248.75 ± 18.11Car70.02 ± 0.1784.32 ± 3.2997.57 ± 1.0196.59 ± 1.1797.40 ± 1.1398.09 ± 1.1698.32 ± 0.9693.23 ± 1.5993.46 ± 1.7170.02 ± 0.17Cardiotocography-10classes66.65 ± 2.6870.93 ± 2.9183.35 ± 2.4378.65 ± 2.9781.23 ± 2.0982.41 ± 2.5683.11 ± 2.0782.92 ± 3.0881.42 ± 3.0647.60 ± 2.30Cardiotocography-3classes77.89 ± 0.2382.08 ± 3.3292.90 ± 2.5192.05 ± 1.7891.06 ± 1.9392.05 ± 2.0992.19 ± 1.7592.19 ± 1.0292.29 ± 2.3381.42 ± 3.18Cervical-cancer76.61 ± 8.4490.36 ± 8.9284.64 ± 13.8988.75 ± 11.2370.89 ± 3.1673.75 ± 7.0573.75 ± 7.0592.86 ± 10.1092.86 ± 10.1077.86 ± 9.07Chemicalcomposionofceramic100.00 ± 0.00100.00 ± 0.0098.75 ± 3.95100.00 ± 0.0045.56 ± 2.3445.56 ± 2.3445.56 ± 2.34100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00Chess-krvk27.84 ± 2.0430.87 ± 2.0351.87 ± 3.0649.95 ± 3.3046.02 ± 2.6048.24 ± 2.2449.77 ± 2.9345.42 ± 2.5543.89 ± 2.1225.63 ± 2.11Chess-krvkp76.85 ± 1.2985.54 ± 1.8499.31 ± 0.5195.28 ± 1.3198.69 ± 0.9199.19 ± 0.6399.19 ± 0.5399.19 ± 0.7199.22 ± 0.6966.46 ± 1.44Congressional-voting61.15 ± 1.1257.67 ± 7.2659.10 ± 3.1359.56 ± 6.1361.61 ± 4.0561.14 ± 5.3160.69 ± 5.8959.75 ± 4.8859.55 ± 5.0062.98 ± 2.68Conn-bench-sonar-mines-rocks77.02 ± 7.1968.36 ± 9.6171.17 ± 7.1086.57 ± 7.0184.17 ± 7.0687.02 ± 7.7988.48 ± 7.8580.81 ± 10.9382.21 ± 8.7063.45 ± 10.50Conn-bench-vowel-deterding75.57 ± 2.6965.51 ± 5.5779.54 ± 6.1299.25 ± 1.3294.13 ± 1.8997.54 ± 1.7998.49 ± 1.4984.65 ± 2.6482.76 ± 3.3835.41 ± 4.94Connect-474.53 ± 0.0468.32 ± 2.0479.98 ± 2.1671.37 ± 2.7174.39 ± 0.2576.01 ± 0.9577.17 ± 1.7474.21 ± 2.0075.93 ± 1.5874.47 ± 0.14Connectionist78.69 ± 8.2367.26 ± 11.2174.33 ± 7.9387.05 ± 5.8661.40 ± 8.5169.74 ± 11.5172.67 ± 12.1983.52 ± 9.0783.55 ± 8.3862.86 ± 6.95Contrac48.00 ± 3.0648.89 ± 5.4753.36 ± 3.4143.25 ± 3.3454.51 ± 2.2254.38 ± 3.5453.77 ± 3.8754.51 ± 3.3355.74 ± 3.3148.00 ± 2.03Covid-1975.00 ± 35.3660.00 ± 45.9570.00 ± 42.1660.00 ± 45.9560.00 ± 39.4455.00 ± 43.7865.00 ± 41.1665.00 ± 41.1665.00 ± 41.1680.00 ± 34.96Credit-approval82.03 ± 4.4476.96 ± 3.8384.93 ± 3.8282.17 ± 5.6485.36 ± 5.4485.07 ± 4.8384.64 ± 4.5985.22 ± 2.7284.20 ± 4.0785.51 ± 4.48Crowdsource75.77 ± 1.4281.41 ± 2.6388.81 ± 1.4995.31 ± 0.9675.34 ± 1.0675.34 ± 1.0675.34 ± 1.0692.60 ± 1.8892.46 ± 2.2278.52 ± 2.22Crx83.48 ± 4.8977.68 ± 3.1586.09 ± 3.7581.16 ± 4.8355.80 ± 3.5756.52 ± 4.2757.83 ± 5.1383.04 ± 4.2183.77 ± 2.8885.51 ± 4.48Cryother90.00 ± 13.3083.33 ± 15.9393.33 ± 7.7790.00 ± 8.2082.22 ± 13.0483.33 ± 13.0983.33 ± 13.0987.78 ± 9.7386.67 ± 8.7681.11 ± 10.54Cylinder-bands66.22 ± 3.1967.59 ± 5.7972.28 ± 6.1169.16 ± 7.2275.78 ± 3.8579.09 ± 4.4081.24 ± 3.1473.05 ± 5.2874.03 ± 5.5066.61 ± 4.29Dbworld-bodies57.38 ± 9.1575.48 ± 15.4380.00 ± 16.8159.29 ± 10.5054.52 ± 5.5554.52 ± 5.5563.81 ± 12.69//86.43 ± 13.28Dbworld-bodies-stemmed57.38 ± 9.1576.90 ± 12.4586.67 ± 14.2964.05 ± 14.7454.52 ± 5.5559.05 ± 9.1773.81 ± 13.23//74.29 ± 20.32Dbworld-sub jects54.52 ± 5.5589.52 ± 9.9372.62 ± 12.1580.24 ± 13.7954.52 ± 5.5554.52 ± 5.5554.52 ± 5.5589.52 ± 13.7687.86 ± 15.4962.62 ± 12.35Dbworld-sub jects-stemmed54.52 ± 5.5586.43 ± 13.2875.71 ± 17.4583.33 ± 10.4754.52 ± 5.5554.52 ± 5.5554.52 ± 5.5587.62 ± 12.2886.19 ± 11.4960.95 ± 10.18Dermatology85.53 ± 4.8297.54 ± 2.7196.47 ± 3.3895.35 ± 4.2697.55 ± 2.3797.83 ± 2.4997.83 ± 2.7998.36 ± 1.4197.82 ± 1.7149.73 ± 2.45Diabetes72.52 ± 4.1476.31 ± 5.5273.83 ± 5.6670.17 ± 4.6965.11 ± 0.3665.11 ± 0.3665.11 ± 0.3675.40 ± 4.6675.39 ± 4.3871.48 ± 5.15Diabetic64.38 ± 4.5256.82 ± 2.2064.38 ± 4.5861.33 ± 4.7558.21 ± 4.7859.43 ± 6.0159.52 ± 5.7172.03 ± 6.1072.46 ± 5.8253.26 ± 5.68Divorce97.65 ± 3.0497.65 ± 3.0495.29 ± 5.4197.65 ± 3.0497.65 ± 3.0497.65 ± 3.0497.65 ± 3.0497.65 ± 3.0497.65 ± 3.0495.29 ± 5.41Dota2train52.70 ± 0.3654.22 ± 3.4654.12 ± 5.3954.43 ± 4.1552.70 ± 0.3653.66 ± 3.6152.59 ± 3.2950.44 ± 3.5052.60 ± 2.2255.39 ± 3.63Dow-jones-index65.43 ± 4.1550.34 ± 5.1372.50 ± 4.0954.61 ± 6.3652.07 ± 0.2252.07 ± 0.2252.07 ± 0.2254.60 ± 5.9555.02 ± 4.7356.48 ± 3.08Dry-bean-dataset93.30 ± 1.5190.24 ± 1.5093.06 ± 1.1394.62 ± 1.1261.52 ± 2.7261.52 ± 2.7261.52 ± 2.7292.53 ± 1.6692.65 ± 1.5568.55 ± 1.91Early-stage-diabetes-data-upload84.04 ± 7.0887.12 ± 3.0195.96 ± 2.7998.08 ± 2.2294.23 ± 4.1594.81 ± 4.0695.38 ± 3.7696.35 ± 2.9396.15 ± 3.2782.31 ± 4.33Echocardiogram68.68 ± 7.7179.34 ± 10.9778.57 ± 11.4274.01 ± 13.2381.65 ± 8.3280.82 ± 11.0980.82 ± 11.0977.14 ± 12.4377.86 ± 13.3085.49 ± 6.73Ecoli71.76 ± 4.2586.89 ± 5.3283.93 ± 7.5480.37 ± 6.3886.59 ± 4.5686.59 ± 4.3387.18 ± 3.5186.00 ± 5.2884.82 ± 3.8266.97 ± 6.83Eegeyesate67.94 ± 1.2246.77 ± 3.2684.50 ± 1.0983.65 ± 2.0355.12 ± 0.0355.16 ± 0.0655.16 ± 0.0654.81 ± 3.7655.07 ± 3.6862.60 ± 1.18Electrical84.91 ± 7.2897.46 ± 4.66100.00 ± 0.0091.32 ± 7.3282.67 ± 7.5282.67 ± 6.5183.63 ± 6.2198.71 ± 1.6798.40 ± 1.6999.68 ± 1.02Energy-y181.25 ± 1.0481.77 ± 3.3397.53 ± 1.2975.79 ± 4.0288.67 ± 1.3989.84 ± 1.6089.84 ± 2.8088.94 ± 1.7488.02 ± 1.8284.50 ± 1.89Energy-y289.84 ± 3.0682.82 ± 3.3190.23 ± 2.7776.31 ± 3.3489.72 ± 2.0690.76 ± 1.5591.28 ± 1.5091.01 ± 2.3591.27 ± 2.8288.41 ± 3.09Extentionofz-alizadehsani71.29 ± 1.4793.40 ± 3.4999.68 ± 1.0290.45 ± 5.1971.29 ± 1.4771.29 ± 1.4771.29 ± 1.4798.03 ± 2.3198.03 ± 2.3186.49 ± 4.71Fertility88.00 ± 4.2288.00 ± 4.2285.00 ± 7.0783.00 ± 11.6088.00 ± 4.2289.00 ± 5.6889.00 ± 7.3890.00 ± 9.4388.00 ± 13.1788.00 ± 4.22First-order90.45 ± 0.3331.39 ± 3.84100.00 ± 0.0099.41 ± 0.4890.45 ± 0.3395.49 ± 1.4697.97 ± 1.0999.87 ± 0.4199.87 ± 0.4190.78 ± 1.71Flags47.97 ± 10.0746.34 ± 7.6160.95 ± 8.0945.00 ± 8.9452.61 ± 9.4154.24 ± 10.3153.24 ± 13.1846.50 ± 12.5149.00 ± 11.9357.26 ± 7.25Foresttypes93.95 ± 4.5894.92 ± 4.1694.97 ± 5.7795.45 ± 3.7030.32 ± 2.4532.34 ± 3.6432.34 ± 3.6496.92 ± 3.6396.92 ± 3.6382.26 ± 8.50Garments-worker-productivity44.44 ± 2.4626.06 ± 2.6247.04 ± 6.1926.15 ± 3.5035.50 ± 2.9036.08 ± 2.9136.84 ± 2.4741.19 ± 5.5441.11 ± 4.4132.41 ± 3.71Gender-name-dataset60.24 ± 1.5358.30 ± 6.5160.23 ± 0.1563.60 ± 1.7064.19 ± 1.3864.28 ± 2.0264.34 ± 1.8160.32 ± 0.1058.26 ± 6.5260.58 ± 1.04Gesture-a1-raw89.18 ± 2.1174.13 ± 2.7891.47 ± 2.1196.34 ± 1.1239.95 ± 0.3039.95 ± 0.3039.95 ± 0.3091.53 ± 2.2391.36 ± 1.4196.74 ± 1.35Gesture-a1-va368.10 ± 2.4759.27 ± 3.5266.16 ± 4.6674.12 ± 2.7639.82 ± 0.2239.82 ± 0.2239.82 ± 0.2270.97 ± 1.6670.57 ± 2.3161.56 ± 2.06Gesture-a2-raw88.45 ± 1.9168.67 ± 3.1689.25 ± 3.0894.63 ± 3.0439.00 ± 0.2739.00 ± 0.2739.00 ± 0.2789.48 ± 1.8989.72 ± 2.2594.70 ± 2.62Gesture-a2-va361.98 ± 2.7943.97 ± 8.7357.06 ± 2.6067.70 ± 4.1338.81 ± 0.2538.81 ± 0.2538.81 ± 0.2562.30 ± 3.4361.35 ± 4.3253.97 ± 4.10Gesture-a3-raw90.68 ± 1.9961.45 ± 3.8792.97 ± 1.2296.29 ± 0.9936.10 ± 0.2436.10 ± 0.2436.10 ± 0.2489.53 ± 1.4588.77 ± 2.5095.31 ± 1.16Gesture-a3-va360.38 ± 2.3250.22 ± 2.5375.96 ± 3.1489.89 ± 1.7735.96 ± 0.2335.96 ± 0.2335.96 ± 0.2365.46 ± 3.5066.45 ± 2.7050.93 ± 2.39Gesture-b1-raw91.52 ± 2.9448.56 ± 4.9192.73 ± 2.7894.87 ± 2.8738.68 ± 0.6538.86 ± 0.7938.86 ± 0.7987.51 ± 4.3189.38 ± 1.9891.42 ± 2.24Gesture-b1-va361.19 ± 5.7434.80 ± 7.1869.88 ± 4.2490.56 ± 2.6938.54 ± 0.3938.54 ± 0.3938.54 ± 0.3961.84 ± 3.4063.70 ± 4.8342.57 ± 4.35Gesture-b3-raw89.40 ± 2.9257.65 ± 4.2291.08 ± 3.4395.51 ± 0.8833.08 ± 0.3433.08 ± 0.3433.08 ± 0.3488.41 ± 4.1087.64 ± 3.4095.36 ± 2.35Gesture-b3-va346.20 ± 3.5843.66 ± 3.9657.39 ± 3.9778.03 ± 2.9333.03 ± 0.2233.03 ± 0.2233.03 ± 0.2258.10 ± 5.4755.92 ± 5.0540.07 ± 5.49Gesture-c1-raw86.41 ± 3.5363.64 ± 2.5989.29 ± 2.2694.33 ± 1.6825.74 ± 0.4525.74 ± 0.4525.74 ± 0.4587.58 ± 3.3687.13 ± 3.5893.79 ± 2.60Gesture-c1-va352.84 ± 4.0850.50 ± 3.8957.81 ± 3.4670.37 ± 3.4525.47 ± 0.3625.47 ± 0.3625.47 ± 0.3664.23 ± 3.1362.51 ± 4.1541.46 ± 4.63Gesture-c3-raw88.26 ± 2.6660.08 ± 5.3587.77 ± 3.5493.02 ± 2.3327.00 ± 0.2227.00 ± 0.2227.00 ± 0.2285.91 ± 3.1683.70 ± 2.2494.34 ± 1.34Gesture-c3-va348.13 ± 3.4445.50 ± 2.3854.91 ± 4.0062.39 ± 4.7126.94 ± 0.2126.94 ± 0.2126.94 ± 0.2157.41 ± 4.0856.10 ± 5.7242.59 ± 2.76Glass65.80 ± 11.0152.27 ± 9.0567.29 ± 8.5070.52 ± 8.9472.88 ± 6.5671.90 ± 8.5070.97 ± 8.3967.25 ± 9.7268.20 ± 5.3157.08 ± 8.98Go-track-tracks83.60 ± 10.3682.87 ± 4.5487.68 ± 7.7190.92 ± 8.5772.02 ± 12.7171.99 ± 11.5371.99 ± 11.5384.12 ± 10.3484.74 ± 8.9975.55 ± 13.56Haberman-survival73.51 ± 3.0875.13 ± 4.0771.86 ± 4.0867.68 ± 6.2972.55 ± 4.6571.25 ± 2.9171.25 ± 2.9172.85 ± 6.0873.85 ± 6.6272.88 ± 3.00Hayes-roth65.88 ± 10.4574.84 ± 13.2980.27 ± 6.5181.04 ± 6.5386.32 ± 7.1081.04 ± 6.5380.27 ± 6.5171.04 ± 13.2070.27 ± 13.5443.96 ± 5.89Hcc-data63.68 ± 4.5268.97 ± 8.6360.70 ± 7.6463.64 ± 8.0261.84 ± 2.2661.84 ± 2.2661.84 ± 2.2664.45 ± 14.8264.41 ± 10.8269.15 ± 11.07Hcvdat87.48 ± 1.0591.71 ± 3.6492.04 ± 2.2190.57 ± 1.4886.67 ± 0.6386.67 ± 0.6386.67 ± 0.6393.00 ± 2.8192.35 ± 3.0088.62 ± 1.84Heart-cleveland54.15 ± 2.2855.84 ± 10.4252.55 ± 8.3154.77 ± 6.5157.51 ± 8.5358.83 ± 9.0757.53 ± 9.5854.17 ± 6.9754.49 ± 6.4352.54 ± 7.34Heart-hungarian80.33 ± 7.1280.97 ± 8.0678.61 ± 6.7277.55 ± 8.1081.72 ± 7.6382.38 ± 6.3783.05 ± 6.5077.86 ± 8.8377.83 ± 7.9578.98 ± 9.41Heart-switzerland43.78 ± 8.8241.47 ± 11.3141.41 ± 11.0132.69 ± 14.1339.04 ± 6.3139.81 ± 5.6241.54 ± 6.4843.97 ± 14.4544.68 ± 11.9132.31 ± 12.00Heart-va29.00 ± 9.3733.00 ± 10.0633.00 ± 6.3235.00 ± 7.8234.50 ± 9.5632.00 ± 8.5630.00 ± 9.4329.50 ± 10.3928.50 ± 10.5527.50 ± 9.79Heart-failure-clinical-records-dataset69.23 ± 2.1076.94 ± 6.3180.61 ± 5.1365.54 ± 6.7467.90 ± 1.6267.90 ± 1.6267.90 ± 1.6273.56 ± 4.9377.30 ± 9.2285.61 ± 6.32Hepatitis79.37 ± 2.3883.79 ± 8.9379.96 ± 8.8182.50 ± 5.5483.17 ± 6.3384.38 ± 9.3184.38 ± 9.3181.96 ± 9.3378.75 ± 11.3974.17 ± 6.82Hill-valley49.82 ± 5.8448.67 ± 2.5850.33 ± 1.1151.81 ± 3.4852.16 ± 6.5852.15 ± 7.4453.14 ± 6.9956.14 ± 7.6053.14 ± 2.7247.51 ± 4.93Hiv1625data93.54 ± 1.8493.72 ± 1.7090.95 ± 2.4492.06 ± 1.9692.18 ± 2.0093.41 ± 2.1293.72 ± 2.3395.26 ± 2.0893.60 ± 2.3179.32 ± 1.71Hiv746data92.37 ± 3.2290.89 ± 3.6882.58 ± 4.7686.74 ± 3.3689.55 ± 3.7190.89 ± 2.8091.03 ± 3.2792.50 ± 2.5192.50 ± 3.2680.97 ± 4.35Horse-colic74.00 ± 3.0672.67 ± 5.6287.00 ± 5.0876.67 ± 7.5483.67 ± 4.8384.67 ± 5.2685.00 ± 5.7279.33 ± 6.0579.67 ± 7.9382.33 ± 5.45Htru97.06 ± 0.4994.50 ± 0.5097.84 ± 0.5197.14 ± 0.3891.14 ± 0.1491.48 ± 0.1991.38 ± 0.1897.97 ± 0.4097.95 ± 0.3697.60 ± 0.40Hypothyroid92.29 ± 0.0895.28 ± 0.8399.58 ± 0.2991.52 ± 1.5592.60 ± 0.3192.74 ± 0.7292.71 ± 0.7893.82 ± 4.1592.92 ± 4.4696.24 ± 0.94Ibeacon-rssi-labeled24.15 ± 2.4419.86 ± 2.1526.34 ± 3.1437.18 ± 3.8434.15 ± 1.7036.55 ± 2.8137.75 ± 3.1427.54 ± 3.5827.54 ± 3.994.51 ± 1.73Ilpd-indian-liver71.53 ± 1.3955.91 ± 5.2466.06 ± 5.2564.83 ± 5.8971.36 ± 0.7670.67 ± 1.7470.83 ± 2.5168.95 ± 4.7868.95 ± 6.0266.05 ± 2.99Image-segmentation88.10 ± 5.1477.62 ± 5.5289.05 ± 7.7987.14 ± 4.5287.14 ± 3.2187.14 ± 4.5286.67 ± 4.3890.00 ± 4.7490.00 ± 4.7459.05 ± 8.75Immunotherapy78.89 ± 3.5175.56 ± 10.2182.22 ± 10.7370.00 ± 16.6078.89 ± 3.5178.89 ± 3.5178.89 ± 3.5181.11 ± 11.7778.89 ± 8.2084.44 ± 9.37Impensdata85.64 ± 1.1190.07 ± 2.4784.27 ± 0.3087.54 ± 2.4684.27 ± 0.3084.27 ± 0.3084.27 ± 0.3090.28 ± 2.2489.33 ± 2.6084.37 ± 2.08In-vehicle-coupon-recommendation57.36 ± 0.2065.59 ± 1.5470.84 ± 1.1463.99 ± 1.5368.89 ± 1.3269.42 ± 1.3169.84 ± 1.3270.46 ± 1.0471.29 ± 1.0960.53 ± 0.88Indian71.70 ± 0.8855.74 ± 5.1768.97 ± 5.2264.12 ± 6.8172.38 ± 1.5871.69 ± 1.3471.69 ± 1.3468.26 ± 5.8867.91 ± 7.1165.88 ± 2.93Ionosphere88.31 ± 3.1782.62 ± 5.4791.46 ± 3.2786.33 ± 4.5994.31 ± 2.3094.89 ± 3.1895.75 ± 3.0090.32 ± 2.3990.90 ± 3.4580.92 ± 7.47Iris81.33 ± 11.2493.33 ± 5.4496.00 ± 5.6295.33 ± 5.4996.67 ± 3.5196.00 ± 4.6696.67 ± 3.5197.33 ± 3.4497.33 ± 3.4492.00 ± 6.13Jain93.53 ± 4.2694.35 ± 4.3199.46 ± 1.71100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0095.15 ± 3.5795.15 ± 3.3395.16 ± 3.32Jsbach-chorals-harmony88.37 ± 0.0596.86 ± 0.5596.52 ± 0.5097.49 ± 0.5496.26 ± 0.6196.91 ± 0.4597.19 ± 0.6897.56 ± 0.5997.18 ± 0.8795.96 ± 0.62Knowledge61.08 ± 7.4887.19 ± 11.0492.35 ± 6.8275.00 ± 8.3183.73 ± 9.9088.92 ± 8.8991.83 ± 7.9191.83 ± 5.6492.42 ± 5.5382.52 ± 9.66Lasvegastripadvisorreviews14.67 ± 3.2016.47 ± 4.4016.30 ± 5.0515.68 ± 3.9613.47 ± 3.3711.68 ± 4.8014.07 ± 4.8215.69 ± 6.5116.07 ± 5.0814.29 ± 3.25Leaf58.82 ± 5.8872.06 ± 8.5760.88 ± 8.093.24 ± 3.2417.06 ± 4.1124.12 ± 5.1525.59 ± 5.5550.88 ± 7.3448.24 ± 7.9923.82 ± 4.89Led-display70.00 ± 3.6272.00 ± 2.7571.10 ± 3.2570.90 ± 3.2871.90 ± 4.0971.70 ± 3.8071.40 ± 3.6671.80 ± 3.4672.00 ± 3.8919.60 ± 1.26Lenses68.33 ± 33.7568.33 ± 33.7578.33 ± 33.3886.67 ± 21.9478.33 ± 29.4583.33 ± 22.2283.33 ± 22.2271.67 ± 26.1271.67 ± 26.1266.67 ± 30.43Letter71.68 ± 0.7364.01 ± 0.7487.91 ± 0.6595.90 ± 0.2994.88 ± 0.2596.00 ± 0.3096.51 ± 0.2282.45 ± 1.1781.78 ± 1.0817.25 ± 0.37Libras66.94 ± 9.6663.33 ± 9.9669.72 ± 10.4385.83 ± 4.9881.11 ± 4.1085.28 ± 4.3586.94 ± 3.9480.56 ± 5.2481.11 ± 5.3721.11 ± 6.03Low-res-spect66.65 ± 3.8880.42 ± 3.9683.24 ± 3.4083.79 ± 4.0389.45 ± 2.4189.64 ± 2.7290.58 ± 2.5392.47 ± 3.3391.71 ± 2.5573.83 ± 5.30Lung-cancer56.67 ± 21.0866.67 ± 20.7940.83 ± 26.7750.83 ± 36.5353.33 ± 21.9459.17 ± 21.6851.67 ± 25.0946.67 ± 28.1149.17 ± 24.3647.50 ± 17.59Lymphography76.24 ± 7.0482.38 ± 8.5574.90 ± 8.1275.67 ± 13.0585.86 ± 9.2585.10 ± 9.9283.14 ± 8.9681.00 ± 9.1879.62 ± 8.7775.67 ± 8.03Magic76.45 ± 1.7573.34 ± 2.4982.60 ± 2.5679.65 ± 2.3484.75 ± 2.1585.02 ± 1.7485.02 ± 1.4284.28 ± 1.7984.02 ± 1.8571.87 ± 4.46Mammographic78.87 ± 3.2778.46 ± 3.5882.00 ± 2.1175.54 ± 5.0082.73 ± 2.1382.32 ± 2.5982.52 ± 2.6481.69 ± 2.6981.17 ± 2.5381.89 ± 1.25Miniboone79.08 ± 1.9829.15 ± 1.3885.92 ± 2.4383.54 ± 1.5984.54 ± 2.4785.62 ± 2.1286.38 ± 1.8584.15 ± 1.7183.85 ± 1.8181.77 ± 1.78Molec-biol-promoter88.55 ± 16.4888.45 ± 10.9374.45 ± 10.0472.45 ± 12.0882.64 ± 13.4584.64 ± 11.9484.64 ± 11.9478.36 ± 10.9277.45 ± 10.1069.73 ± 11.09Molec-biol-splice51.88 ± 0.1792.35 ± 1.7192.63 ± 1.9263.10 ± 2.0887.12 ± 1.9787.27 ± 1.7186.74 ± 1.3084.70 ± 2.2684.33 ± 1.7763.32 ± 2.27Monks-191.86 ± 9.6371.54 ± 11.5196.79 ± 6.7670.13 ± 10.3180.64 ± 12.1183.08 ± 10.9383.14 ± 9.5988.65 ± 14.9589.55 ± 17.2073.27 ± 9.82Monks-262.13 ± 2.9356.18 ± 10.9676.91 ± 10.9261.03 ± 10.9458.01 ± 7.3960.92 ± 12.5464.49 ± 12.4273.46 ± 12.3874.56 ± 7.8458.60 ± 4.55Monks-393.40 ± 8.6088.53 ± 5.7693.40 ± 8.6074.55 ± 16.3890.19 ± 7.5689.29 ± 7.9689.29 ± 7.9684.23 ± 10.7789.23 ± 6.8977.88 ± 3.84Mushroom90.52 ± 1.0688.84 ± 1.14100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0098.52 ± 0.48Musk-184.25 ± 5.5873.99 ± 6.9785.11 ± 6.5984.89 ± 4.5690.77 ± 4.3192.43 ± 2.8693.69 ± 2.9994.33 ± 2.6093.49 ± 3.0262.39 ± 8.95Musk-287.81 ± 0.8585.09 ± 1.6795.42 ± 1.5396.18 ± 0.9696.09 ± 1.2097.42 ± 0.9598.06 ± 0.7698.88 ± 0.6998.73 ± 0.9089.72 ± 1.26Newdiagnosis100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0077.50 ± 6.86Nursery88.17 ± 1.3589.75 ± 0.9899.49 ± 0.2788.98 ± 0.9198.24 ± 0.2298.67 ± 0.2198.94 ± 0.2095.73 ± 0.8894.77 ± 1.3070.97 ± 1.03Obesitydataset-raw-and-data-sinthetic83.04 ± 2.2967.41 ± 2.7993.75 ± 1.9482.05 ± 2.4889.72 ± 2.3391.71 ± 2.2492.47 ± 2.2294.37 ± 2.7594.22 ± 1.4667.08 ± 3.58Obs-network-dataset-2-aug2796.00 ± 1.7071.82 ± 5.3199.63 ± 1.1799.07 ± 0.6297.68 ± 0.6597.68 ± 0.6597.68 ± 0.6596.56 ± 1.5398.05 ± 1.1990.69 ± 2.07Occupancy-data96.13 ± 0.9295.53 ± 1.0298.61 ± 0.8199.14 ± 0.5080.94 ± 2.0182.10 ± 2.3182.10 ± 2.3197.94 ± 0.8798.01 ± 0.9098.69 ± 0.77Occupancy-data298.41 ± 0.4396.03 ± 0.5599.44 ± 0.1699.47 ± 0.2383.55 ± 0.5085.65 ± 0.5985.65 ± 0.5999.43 ± 0.2199.42 ± 0.1599.37 ± 0.16Occupancy-data398.40 ± 0.6397.70 ± 0.5599.51 ± 0.1099.46 ± 0.2382.91 ± 0.5384.51 ± 0.6184.53 ± 0.6198.76 ± 0.3798.77 ± 0.3099.37 ± 0.18Old88.60 ± 1.8094.05 ± 0.9794.99 ± 1.7297.68 ± 0.8295.07 ± 0.9395.19 ± 1.2795.48 ± 1.1996.95 ± 0.9796.86 ± 1.1288.68 ± 1.62Online-shoppers-intention84.53 ± 0.0381.60 ± 1.3089.53 ± 0.5381.53 ± 0.5784.50 ± 0.0684.45 ± 0.1384.40 ± 0.1589.38 ± 0.8588.86 ± 1.2188.23 ± 0.98Oocytes-merluccius-nucleus-4d72.02 ± 2.4859.98 ± 4.0975.64 ± 2.4372.22 ± 3.9077.30 ± 2.9080.13 ± 2.5181.01 ± 3.0281.41 ± 2.0480.62 ± 4.3866.83 ± 5.20Oocytes-merluccius-states-2f88.55 ± 3.2184.64 ± 4.0490.51 ± 3.4091.09 ± 2.8491.68 ± 2.5992.07 ± 2.1092.76 ± 1.9791.78 ± 1.6991.29 ± 2.7681.89 ± 4.69Oocytes-trisopterus-nucleus-2fg64.46 ± 5.2153.07 ± 5.5572.16 ± 6.8574.34 ± 5.8081.15 ± 3.6783.78 ± 3.4183.34 ± 2.7683.11 ± 3.9782.12 ± 4.2559.43 ± 5.98Oocytes-trisopterus-states-5bg83.13 ± 4.7875.78 ± 4.2388.60 ± 2.5590.90 ± 3.6991.78 ± 3.4092.33 ± 2.7492.77 ± 2.3293.32 ± 2.6893.32 ± 2.9780.04 ± 2.74Optdigits88.83 ± 1.1991.33 ± 1.0190.69 ± 1.4498.61 ± 0.6473.13 ± 1.9174.88 ± 2.0874.88 ± 2.0898.26 ± 0.7198.43 ± 0.5427.03 ± 1.23Optical88.47 ± 1.5791.68 ± 1.3189.72 ± 1.3998.46 ± 0.5798.59 ± 0.5598.74 ± 0.6098.72 ± 0.5898.27 ± 0.5498.20 ± 0.7527.70 ± 1.30Ozone97.12 ± 0.1971.10 ± 3.6895.78 ± 0.5395.11 ± 0.6797.12 ± 0.1997.12 ± 0.1997.12 ± 0.1996.22 ± 0.9796.65 ± 0.8996.85 ± 0.45Page-blocks92.84 ± 0.8989.99 ± 1.4396.88 ± 0.4196.02 ± 0.6096.18 ± 0.7596.44 ± 0.7596.47 ± 0.7696.22 ± 0.7096.20 ± 0.5593.75 ± 0.60Parkingbirmingham81.18 ± 1.9476.17 ± 2.07100.00 ± 0.0097.45 ± 0.6758.69 ± 3.7861.30 ± 3.9161.30 ± 3.9186.42 ± 1.5487.88 ± 1.56100.00 ± 0.00Parkinsons84.63 ± 5.4069.34 ± 11.5180.50 ± 3.3396.39 ± 2.4987.71 ± 6.3989.79 ± 6.2991.34 ± 5.8090.63 ± 7.7989.66 ± 8.9386.18 ± 7.59Pasture71.67 ± 24.9174.17 ± 23.7278.33 ± 20.4971.67 ± 27.5528.33 ± 4.3028.33 ± 4.3028.33 ± 4.3076.67 ± 25.0974.17 ± 26.4863.33 ± 26.41Pbc75.35 ± 4.8377.72 ± 7.4277.24 ± 8.3159.58 ± 8.7761.48 ± 0.7961.48 ± 0.7961.48 ± 0.7971.06 ± 6.0473.67 ± 4.0272.25 ± 9.13Pen87.26 ± 0.6185.75 ± 1.1896.56 ± 0.5399.36 ± 0.1713.49 ± 0.8614.47 ± 0.9514.47 ± 0.9594.62 ± 0.6394.40 ± 0.4338.95 ± 1.54Pendigits86.55 ± 1.0287.99 ± 1.4696.14 ± 0.7599.43 ± 0.2499.61 ± 0.1999.67 ± 0.1699.65 ± 0.1795.17 ± 0.6795.05 ± 0.5439.74 ± 1.98Pharynx76.45 ± 2.1968.24 ± 10.4876.45 ± 2.1964.08 ± 10.1675.42 ± 8.6173.29 ± 10.6070.26 ± 10.6871.79 ± 3.6470.95 ± 16.4127.13 ± 5.60Phishingwebsites85.07 ± 0.9992.98 ± 0.6495.88 ± 0.4497.18 ± 0.4594.50 ± 0.5295.00 ± 0.5095.26 ± 0.4696.78 ± 0.3896.83 ± 0.4888.89 ± 0.56Pima72.00 ± 3.7776.31 ± 5.5573.83 ± 5.6670.17 ± 4.6975.66 ± 4.0875.13 ± 4.0175.00 ± 3.4375.40 ± 4.6675.39 ± 4.3871.48 ± 5.15Pittsburg-bridges-rel-l69.09 ± 8.0266.91 ± 11.9563.00 ± 14.1071.09 ± 16.9167.18 ± 12.3468.09 ± 12.3972.82 ± 11.1061.36 ± 14.2766.18 ± 10.7571.00 ± 10.59Pittsburg-bridges-span59.78 ± 8.9867.33 ± 13.9360.78 ± 13.1755.00 ± 18.0565.11 ± 14.6364.00 ± 16.1864.00 ± 16.1866.22 ± 9.9168.44 ± 13.3154.67 ± 14.02Pittsburg-bridges-t-or-d86.36 ± 4.7386.45 ± 9.8383.55 ± 10.7883.55 ± 11.7686.45 ± 7.7488.45 ± 8.4489.45 ± 7.9085.64 ± 12.4983.64 ± 14.1085.27 ± 9.69Pittsburg-bridges-type55.91 ± 11.2855.91 ± 11.6261.73 ± 9.3157.82 ± 11.7653.91 ± 12.0561.27 ± 17.6562.45 ± 13.3259.64 ± 17.8259.64 ± 17.3056.09 ± 5.40Pittsburg-bridgesmaterial84.00 ± 7.7584.00 ± 7.5087.73 ± 8.0783.73 ± 11.4285.91 ± 6.3985.00 ± 6.2484.00 ± 9.6483.18 ± 11.0379.36 ± 10.1486.82 ± 4.74Planning72.02 ± 2.5768.13 ± 6.2871.46 ± 1.6065.94 ± 9.3271.46 ± 1.6070.32 ± 5.9665.91 ± 6.9361.49 ± 7.0358.71 ± 9.9362.05 ± 8.60Plant-margin63.13 ± 4.3184.69 ± 2.5948.06 ± 4.5074.00 ± 2.7882.81 ± 2.2784.75 ± 2.8085.13 ± 2.8283.06 ± 2.2383.63 ± 3.247.69 ± 2.17Plant-shape49.81 ± 4.4253.19 ± 2.8846.13 ± 3.4064.69 ± 3.3548.94 ± 1.6256.75 ± 3.1360.06 ± 3.3564.75 ± 3.7965.00 ± 3.358.56 ± 1.62Plant-texture62.85 ± 2.9374.42 ± 3.1351.97 ± 3.4880.11 ± 2.8483.30 ± 2.5085.55 ± 2.2986.06 ± 2.3583.80 ± 1.7483.11 ± 1.913.44 ± 0.90Poker-hand-training-true49.95 ± 0.0249.95 ± 0.0255.91 ± 2.0447.03 ± 0.8658.71 ± 1.0057.57 ± 0.9356.45 ± 1.1153.97 ± 0.6151.90 ± 2.0349.95 ± 0.02Post-operative71.11 ± 5.7465.56 ± 6.3171.11 ± 5.7461.11 ± 10.8071.11 ± 5.7468.89 ± 7.0366.67 ± 9.0756.67 ± 13.3056.67 ± 16.1068.89 ± 7.03Primary-tumor26.06 ± 2.1243.03 ± 10.1843.33 ± 9.0435.15 ± 8.3546.67 ± 10.9044.85 ± 10.5743.94 ± 11.9740.91 ± 7.9941.21 ± 8.4827.88 ± 2.78Qsarbioconcentration74.84 ± 0.6373.69 ± 1.8073.29 ± 3.8161.62 ± 5.7574.84 ± 0.7073.30 ± 1.5070.60 ± 2.8970.99 ± 4.0771.63 ± 3.0572.79 ± 3.27Qsarbiodegradation69.95 ± 2.1675.83 ± 3.2383.51 ± 3.4683.60 ± 2.2485.88 ± 2.6286.25 ± 2.1785.59 ± 2.4986.92 ± 2.3087.21 ± 2.4676.69 ± 3.95Qualitative-bankruptcy99.20 ± 2.5399.20 ± 2.5398.00 ± 2.83100.00 ± 0.0098.80 ± 2.7098.80 ± 2.7099.60 ± 1.2699.20 ± 2.5399.20 ± 2.5398.40 ± 2.80Ringnorm79.14 ± 1.4398.64 ± 0.4791.61 ± 0.2775.16 ± 1.5898.59 ± 0.4198.47 ± 0.4198.35 ± 0.4891.95 ± 1.4791.70 ± 0.8664.43 ± 0.97Risk-factors-cervical-cancer93.59 ± 0.6088.69 ± 1.9195.10 ± 1.9794.40 ± 2.0693.59 ± 0.6093.47 ± 0.8093.94 ± 1.6294.76 ± 2.0094.52 ± 2.2796.15 ± 1.91Robotnavigation91.81 ± 1.0052.51 ± 2.0199.60 ± 0.2388.25 ± 1.2290.03 ± 1.1491.18 ± 0.9891.99 ± 0.7788.21 ± 1.8688.20 ± 2.4475.37 ± 1.90Sapfile48.85 ± 11.4754.18 ± 10.3145.71 ± 14.9541.98 ± 8.9748.85 ± 8.8949.67 ± 6.8349.67 ± 8.5448.08 ± 9.4647.31 ± 12.3041.92 ± 12.36Sat85.10 ± 0.8779.60 ± 1.2386.03 ± 0.9890.55 ± 0.7926.14 ± 0.5327.32 ± 0.4727.32 ± 0.4789.71 ± 1.6088.98 ± 1.1159.75 ± 1.30Satelite85.07 ± 0.8279.56 ± 1.1086.34 ± 0.6590.58 ± 1.1126.12 ± 0.5727.40 ± 0.7127.40 ± 0.7189.82 ± 0.6689.26 ± 0.8759.97 ± 1.65Scadi58.57 ± 8.1182.86 ± 9.0480.00 ± 13.8080.00 ± 13.8075.71 ± 9.6478.57 ± 13.8881.43 ± 15.1380.00 ± 9.9980.00 ± 9.9958.57 ± 10.54Schillingdata86.86 ± 0.2493.86 ± 0.7486.74 ± 0.1588.45 ± 1.0086.74 ± 0.1589.00 ± 1.0391.63 ± 0.6692.67 ± 2.0891.01 ± 3.3886.58 ± 0.44Seeds86.67 ± 6.6691.43 ± 4.3891.90 ± 5.9694.29 ± 2.0193.81 ± 3.9293.81 ± 3.9293.81 ± 3.9295.24 ± 3.1796.19 ± 3.0182.38 ± 10.05Segment90.30 ± 2.2680.22 ± 1.8996.93 ± 1.0997.14 ± 0.6265.37 ± 2.8867.01 ± 2.4066.97 ± 2.4796.06 ± 1.2096.28 ± 0.8963.85 ± 2.78Seismic-bumps93.42 ± 0.0186.73 ± 1.8993.34 ± 0.2489.39 ± 1.4693.42 ± 0.0193.42 ± 0.0193.42 ± 0.0192.45 ± 0.9392.30 ± 0.9292.96 ± 0.55Semeion78.02 ± 3.3685.94 ± 2.7275.83 ± 2.3991.46 ± 1.9295.60 ± 1.0796.17 ± 0.6996.11 ± 0.7292.65 ± 1.5793.09 ± 1.6619.59 ± 0.47Setapprocesst168.33 ± 8.7058.57 ± 22.1162.86 ± 20.4065.24 ± 10.7263.81 ± 8.3868.57 ± 10.6466.90 ± 9.2964.76 ± 20.4865.00 ± 19.9272.14 ± 23.19Setapprocesst1066.43 ± 5.5144.64 ± 15.9958.21 ± 14.1260.54 ± 16.5166.43 ± 5.5166.43 ± 5.5166.43 ± 5.5151.25 ± 27.0751.25 ± 21.9562.14 ± 8.07Setapprocesst1166.43 ± 5.5152.50 ± 24.6765.71 ± 18.5558.04 ± 16.2866.43 ± 5.5166.43 ± 5.5166.43 ± 5.5161.43 ± 15.7164.11 ± 20.1156.96 ± 10.60Setapprocesst267.86 ± 8.1666.79 ± 15.2772.14 ± 19.7162.68 ± 21.5766.43 ± 5.5166.43 ± 5.5166.43 ± 5.5162.68 ± 20.1665.18 ± 20.8181.25 ± 16.71Setapprocesst366.43 ± 5.5165.18 ± 12.6960.54 ± 15.7666.25 ± 13.4066.43 ± 5.5166.43 ± 5.5166.43 ± 5.5166.25 ± 13.4066.25 ± 9.4353.04 ± 16.45Setapprocesst471.43 ± 6.6447.62 ± 26.1555.24 ± 15.2260.24 ± 18.5871.43 ± 6.6471.43 ± 6.6471.43 ± 6.6455.00 ± 21.8956.90 ± 17.3772.62 ± 11.68Setapprocesst569.29 ± 7.2845.89 ± 16.5253.39 ± 18.0059.64 ± 17.6065.18 ± 7.5463.93 ± 8.9463.93 ± 8.9459.82 ± 13.5862.50 ± 14.6865.71 ± 24.88Setapprocesst666.43 ± 5.5167.50 ± 16.6864.82 ± 13.1564.29 ± 14.5166.43 ± 5.5166.43 ± 5.5166.43 ± 5.5162.68 ± 17.4662.68 ± 14.6460.18 ± 20.15Setapprocesst767.86 ± 8.1674.82 ± 14.8660.71 ± 19.9464.11 ± 15.0966.43 ± 5.5166.43 ± 5.5166.43 ± 5.5170.54 ± 21.1571.96 ± 18.2952.86 ± 15.18Setapprocesst866.43 ± 5.5168.93 ± 14.0270.18 ± 15.1363.21 ± 15.5966.43 ± 5.5166.43 ± 5.5166.43 ± 5.5166.61 ± 16.3765.36 ± 18.1649.46 ± 11.45Setapprocesst966.43 ± 5.5164.64 ± 16.6269.29 ± 16.4958.39 ± 9.9366.43 ± 5.5166.43 ± 5.5166.43 ± 5.5170.18 ± 20.2667.68 ± 17.2250.71 ± 16.54Shillbiddingdataset90.95 ± 0.4396.71 ± 0.4399.62 ± 0.1599.22 ± 0.2899.54 ± 0.1799.56 ± 0.2199.65 ± 0.1999.68 ± 0.1599.72 ± 0.1997.28 ± 0.54Shuttle-landing-control95.00 ± 15.8180.00 ± 34.9695.00 ± 15.8195.00 ± 15.8195.00 ± 15.8195.00 ± 15.8195.00 ± 15.8185.00 ± 33.7580.00 ± 34.9685.00 ± 33.75Somervillehappinesssurvey201557.33 ± 12.5059.38 ± 9.9964.29 ± 17.0958.95 ± 12.8060.05 ± 10.8658.71 ± 10.3158.76 ± 11.6958.86 ± 9.3859.57 ± 11.6565.67 ± 15.87Sonar76.55 ± 7.0667.88 ± 9.2971.17 ± 7.1086.57 ± 7.0165.90 ± 5.4370.26 ± 9.0173.60 ± 9.5482.29 ± 10.7081.76 ± 9.6862.50 ± 11.07Soybean69.10 ± 6.5691.86 ± 5.6087.26 ± 5.1687.62 ± 4.7990.22 ± 6.0092.17 ± 4.4591.53 ± 4.6989.88 ± 6.8590.84 ± 6.4730.63 ± 2.45Spambase77.42 ± 1.1979.11 ± 1.7892.96 ± 1.1990.78 ± 1.1093.39 ± 0.9393.50 ± 1.1093.41 ± 0.9291.20 ± 1.2789.11 ± 6.8678.35 ± 1.99Speaker-accent51.36 ± 2.5258.07 ± 10.2269.92 ± 9.5880.56 ± 8.9258.36 ± 4.0062.31 ± 4.3162.31 ± 4.3179.64 ± 8.2075.40 ± 7.2950.45 ± 4.64Spect70.89 ± 8.3472.14 ± 17.4670.89 ± 13.1855.71 ± 15.7264.64 ± 11.1964.46 ± 11.7463.21 ± 9.4655.71 ± 17.7956.96 ± 14.5772.14 ± 9.82Spectf68.75 ± 12.1575.00 ± 11.7973.75 ± 12.4367.50 ± 18.8267.50 ± 6.4567.50 ± 6.4576.25 ± 13.7671.25 ± 14.4972.50 ± 15.3771.25 ± 8.44Statlog-australian-credit67.68 ± 0.7059.28 ± 5.5366.96 ± 7.1355.80 ± 3.2967.54 ± 1.8364.35 ± 6.3863.91 ± 5.6162.75 ± 5.5961.01 ± 4.5065.22 ± 6.34Statlog-german-credit70.00 ± 0.0075.60 ± 5.2173.90 ± 4.6867.80 ± 3.9476.10 ± 4.1277.30 ± 3.7477.30 ± 4.4270.90 ± 3.9372.20 ± 3.3670.90 ± 2.28Statlog-heart83.70 ± 7.4583.33 ± 7.2576.30 ± 9.7575.19 ± 8.5682.96 ± 5.3080.00 ± 8.4179.63 ± 9.6078.15 ± 7.0880.00 ± 8.7671.11 ± 6.25Statlog-image90.22 ± 2.1580.09 ± 2.0296.93 ± 1.0997.14 ± 0.6294.29 ± 0.8895.15 ± 0.9595.45 ± 0.9096.10 ± 0.9196.15 ± 1.0563.68 ± 2.46Statlog-landsat85.95 ± 1.4979.55 ± 2.2086.13 ± 1.8190.15 ± 1.7089.47 ± 1.5990.19 ± 1.3890.26 ± 1.6189.00 ± 1.2688.88 ± 1.7460.45 ± 1.68Statlog-shuttle84.19 ± 0.4391.64 ± 0.8999.96 ± 0.0399.94 ± 0.0499.75 ± 0.0599.80 ± 0.0599.80 ± 0.0499.69 ± 0.0499.71 ± 0.0794.69 ± 0.30Statlog-vehicle66.55 ± 2.7144.80 ± 3.4072.23 ± 5.9369.86 ± 4.4776.72 ± 3.8880.26 ± 2.6080.50 ± 2.3682.28 ± 3.1580.75 ± 4.6251.19 ± 5.09Steel-plates61.62 ± 2.9560.28 ± 3.8476.04 ± 3.3071.97 ± 2.7375.53 ± 2.7776.97 ± 2.2776.87 ± 2.9272.70 ± 2.8672.65 ± 3.1748.17 ± 3.88Synthetic-control89.00 ± 2.7494.67 ± 3.5091.67 ± 3.5196.50 ± 2.1499.33 ± 0.8699.50 ± 0.8199.50 ± 0.8199.33 ± 0.8699.33 ± 0.8657.00 ± 3.83Teaching50.25 ± 11.2854.21 ± 8.3759.58 ± 11.5762.29 ± 13.5456.17 ± 14.7061.50 ± 12.6862.17 ± 12.3754.29 ± 11.1152.29 ± 9.4146.38 ± 10.93Thoraricsurgery85.11 ± 0.0078.51 ± 9.2784.47 ± 1.0377.23 ± 5.9485.11 ± 0.0084.47 ± 1.0384.47 ± 1.0379.15 ± 4.2379.79 ± 5.4283.40 ± 1.68Thyroid85.19 ± 7.4296.73 ± 3.8492.06 ± 6.3297.21 ± 2.4075.87 ± 5.0177.23 ± 4.5177.23 ± 4.5196.75 ± 3.1096.75 ± 3.1090.69 ± 8.54Thyroid-train92.47 ± 0.1395.63 ± 1.1099.71 ± 0.3292.13 ± 1.3295.10 ± 0.6895.68 ± 0.6096.26 ± 0.6396.58 ± 1.0596.00 ± 1.3096.47 ± 0.78Tic-tac-toe65.34 ± 0.4369.62 ± 3.5693.84 ± 2.44100.00 ± 0.0098.64 ± 1.4099.27 ± 1.0099.69 ± 0.7197.81 ± 1.0497.91 ± 1.2169.93 ± 2.39Titanic78.05 ± 2.4675.37 ± 2.8679.05 ± 1.7879.05 ± 1.7878.46 ± 2.1978.92 ± 2.0178.92 ± 2.0178.15 ± 2.2677.42 ± 2.1977.60 ± 2.02Trains70.00 ± 48.3060.00 ± 51.6470.00 ± 48.3060.00 ± 51.6460.00 ± 51.6470.00 ± 48.3070.00 ± 48.3080.00 ± 42.1680.00 ± 42.160.00 ± 0.00Transfusion76.88 ± 1.3475.40 ± 3.4477.81 ± 3.7770.45 ± 4.4575.27 ± 2.8972.99 ± 3.0671.92 ± 3.7278.21 ± 2.4778.48 ± 2.8076.34 ± 1.66Trial94.08 ± 2.9090.34 ± 3.48100.00 ± 0.0099.74 ± 0.8299.10 ± 0.8799.36 ± 0.6899.36 ± 0.6899.23 ± 0.9099.36 ± 0.91100.00 ± 0.00Turkiye-student-evaluation61.87 ± 0.0586.99 ± 1.5299.97 ± 0.0790.41 ± 1.5895.50 ± 0.5296.27 ± 0.5996.27 ± 0.59100.00 ± 0.00100.00 ± 0.0099.97 ± 0.07Unbalanced98.60 ± 0.4990.77 ± 4.4498.60 ± 0.4997.66 ± 1.5798.60 ± 0.4998.37 ± 0.6098.13 ± 0.8198.13 ± 1.1297.90 ± 1.0898.60 ± 0.49Urbanlandcover80.18 ± 10.2678.49 ± 9.2279.08 ± 7.8076.65 ± 11.0717.28 ± 1.9917.28 ± 1.9917.28 ± 1.9977.21 ± 12.4377.21 ± 12.4349.23 ± 14.54Userknowledgemodeling63.91 ± 7.9089.34 ± 5.7994.02 ± 3.4180.58 ± 10.1477.74 ± 6.4285.29 ± 4.3185.69 ± 3.9391.29 ± 3.5993.25 ± 4.5885.31 ± 7.80Vehicle69.27 ± 4.2944.80 ± 4.7272.47 ± 5.8769.86 ± 4.4730.50 ± 2.5431.32 ± 3.0731.32 ± 3.0781.70 ± 3.8281.21 ± 4.4351.90 ± 5.04Vertebral-column-2classes74.52 ± 8.9377.74 ± 7.0481.61 ± 7.9181.94 ± 5.0985.48 ± 5.3284.52 ± 6.2384.84 ± 5.7084.52 ± 6.7784.19 ± 6.1773.87 ± 7.67Vertebral-column-3classes70.00 ± 10.3283.23 ± 5.8582.26 ± 6.1378.71 ± 4.8683.87 ± 5.8984.84 ± 6.9884.19 ± 6.7185.16 ± 4.8684.52 ± 6.0475.16 ± 6.98Veteran71.48 ± 2.7072.09 ± 8.9672.20 ± 6.8060.66 ± 8.8670.77 ± 1.0670.77 ± 1.0670.77 ± 1.0660.60 ± 14.5067.14 ± 15.6473.57 ± 7.61Vowel62.42 ± 3.4363.74 ± 4.4381.52 ± 4.7299.29 ± 0.8385.05 ± 2.6091.11 ± 2.0192.93 ± 2.0892.83 ± 3.4593.54 ± 2.3932.02 ± 4.21Wall-following91.86 ± 1.2252.47 ± 1.3899.65 ± 0.2588.18 ± 1.2189.00 ± 1.4190.60 ± 1.5891.35 ± 1.3087.48 ± 1.4087.99 ± 1.9575.64 ± 1.43Waveform-noise67.18 ± 2.2080.00 ± 1.9375.16 ± 1.3773.62 ± 1.2786.14 ± 1.5185.38 ± 1.2884.90 ± 1.4183.54 ± 1.6483.08 ± 1.4353.72 ± 2.75Waveform70.94 ± 1.4581.02 ± 1.3875.88 ± 1.3176.90 ± 2.0186.42 ± 1.3685.66 ± 1.3885.46 ± 1.4383.84 ± 1.1583.16 ± 1.2852.54 ± 1.64Wbc96.92 ± 2.0297.51 ± 1.3992.98 ± 2.0295.76 ± 2.5297.66 ± 1.5897.66 ± 1.5897.80 ± 1.7395.76 ± 1.5996.19 ± 1.8591.06 ± 2.91Wdbc93.68 ± 3.7192.98 ± 4.3093.33 ± 3.9495.96 ± 1.8762.74 ± 0.7362.74 ± 0.7362.74 ± 0.7396.66 ± 1.7695.96 ± 2.3589.81 ± 3.17Weathernominal65.00 ± 41.1660.00 ± 39.4455.00 ± 43.7865.00 ± 41.1670.00 ± 34.9660.00 ± 39.4475.00 ± 35.3675.00 ± 35.3675.00 ± 35.3645.00 ± 43.78Weathernumeric55.00 ± 43.7870.00 ± 34.9670.00 ± 42.1680.00 ± 34.9670.00 ± 34.9650.00 ± 47.1450.00 ± 47.1475.00 ± 42.4975.00 ± 42.4945.00 ± 43.78Website-phishingdata82.41 ± 2.2484.11 ± 1.9090.76 ± 2.0888.32 ± 2.7785.66 ± 1.2786.18 ± 1.2087.65 ± 2.0588.77 ± 1.9489.80 ± 2.4681.74 ± 1.63Wholesalecustomersdata89.55 ± 2.2089.09 ± 3.8390.23 ± 3.0487.95 ± 4.8067.73 ± 0.9667.73 ± 0.9667.73 ± 0.9691.59 ± 3.4090.91 ± 4.0190.45 ± 3.68Wifi-localization92.60 ± 1.6898.20 ± 0.7197.15 ± 0.6398.30 ± 0.8979.05 ± 2.4980.45 ± 2.5880.45 ± 2.5897.90 ± 0.3997.95 ± 0.6979.00 ± 4.45Wilt94.61 ± 0.0789.17 ± 1.8298.20 ± 0.4694.88 ± 0.5894.77 ± 0.1494.77 ± 0.1494.77 ± 0.1497.85 ± 0.8798.12 ± 0.5894.46 ± 0.21Wine-quality-red61.98 ± 3.5755.10 ± 4.5961.16 ± 2.9864.79 ± 2.7362.79 ± 2.4863.17 ± 2.6863.29 ± 2.7060.48 ± 3.8160.60 ± 3.0754.66 ± 3.11Wine-quality-white57.17 ± 1.9744.10 ± 1.2058.35 ± 2.8065.40 ± 2.5057.00 ± 2.2857.86 ± 2.4758.11 ± 2.6455.25 ± 2.3254.61 ± 1.4645.75 ± 2.15Wine96.11 ± 5.8996.63 ± 5.3893.86 ± 5.5294.97 ± 4.1198.89 ± 2.3498.30 ± 2.7498.30 ± 2.7497.19 ± 3.9697.19 ± 3.9676.96 ± 9.24Yamilnaduelectricty19.88 ± 1.296.65 ± 0.3714.06 ± 1.0921.21 ± 1.316.65 ± 0.556.82 ± 0.566.70 ± 0.616.40 ± 0.726.40 ± 0.697.45 ± 1.12Yeast46.83 ± 2.5857.81 ± 2.6555.99 ± 4.8552.29 ± 2.3960.24 ± 4.0860.31 ± 4.2460.44 ± 4.5059.43 ± 3.4958.82 ± 3.3940.02 ± 3.39Youtobe-kabita-preprocessing33.18 ± 2.3226.61 ± 1.0234.18 ± 1.7731.94 ± 1.5537.33 ± 2.3736.22 ± 2.1935.53 ± 2.1033.49 ± 1.2933.67 ± 2.0432.37 ± 2.01Youtobe-nisha-preprocessing37.02 ± 1.8233.14 ± 1.9038.51 ± 1.2535.49 ± 1.8440.45 ± 2.1339.22 ± 2.1038.82 ± 2.2237.49 ± 1.9536.22 ± 2.3731.22 ± 1.32Z-alizadehsani71.29 ± 1.4779.87 ± 6.5979.25 ± 8.3278.26 ± 7.0271.29 ± 1.4771.29 ± 1.4771.29 ± 1.4782.25 ± 7.8681.59 ± 7.3470.66 ± 5.28Zoo91.18 ± 8.5296.18 ± 6.5492.18 ± 8.9496.18 ± 6.5494.18 ± 8.1194.18 ± 8.1194.18 ± 8.1195.18 ± 6.6595.18 ± 6.6573.27 ± 10.54Average acc (rank)73.57 (5)72.05 (8)78.53 (1)76.87 (4)71.96 (9)72.66 (7)73.01 (6)77.95 (2)77.84 (3)67.16 (10)Average acc std (rank)4.85 (4)6.41 (10)5.86 (6)6.07 (7)4.20 (1)4.52 (2)4.58 (3)6.10 (8)6.18 (9)5.63 (5)Table 7
The detailed experimental results on kappa statistic and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone0.38 ± 0.040.36 ± 0.030.41 ± 0.030.37 ± 0.040.50 ± 0.040.50 ± 0.040.50 ± 0.030.48 ± 0.050.48 ± 0.060.41 ± 0.03Absenteeism-at-work0.98 ± 0.030.71 ± 0.080.99 ± 0.010.67 ± 0.060.67 ± 0.070.67 ± 0.070.67 ± 0.070.95 ± 0.020.94 ± 0.050.90 ± 0.04Acute-inflammation1.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.58 ± 0.16Acute-nephritis1.00 ± 0.000.89 ± 0.151.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.84 ± 0.15Adult0.00 ± 0.000.34 ± 0.090.47 ± 0.100.41 ± 0.100.47 ± 0.130.49 ± 0.140.50 ± 0.140.44 ± 0.080.42 ± 0.080.26 ± 0.07Aggregation0.81 ± 0.071.00 ± 0.011.00 ± 0.011.00 ± 0.011.00 ± 0.011.00 ± 0.011.00 ± 0.010.99 ± 0.010.99 ± 0.010.47 ± 0.04Algerianforest0.78 ± 0.170.89 ± 0.100.91 ± 0.090.76 ± 0.140.06 ± 0.050.14 ± 0.090.14 ± 0.090.92 ± 0.080.93 ± 0.090.94 ± 0.10Annealing0.00 ± 0.000.50 ± 0.050.91 ± 0.050.74 ± 0.060.67 ± 0.100.76 ± 0.080.78 ± 0.060.78 ± 0.080.77 ± 0.080.44 ± 0.00Arrhythmia0.00 ± 0.000.43 ± 0.110.46 ± 0.100.24 ± 0.050.25 ± 0.050.35 ± 0.080.35 ± 0.080.46 ± 0.090.30 ± 0.120.21 ± 0.06Au1-10000.00 ± 0.000.04 ± 0.060.35 ± 0.120.15 ± 0.110.00 ± 0.000.00 ± 0.000.02 ± 0.040.17 ± 0.120.22 ± 0.110.00 ± 0.00Au4-25000.30 ± 0.110.22 ± 0.080.51 ± 0.100.35 ± 0.080.29 ± 0.050.29 ± 0.050.29 ± 0.050.37 ± 0.080.37 ± 0.090.15 ± 0.08Au6-10000.00 ± 0.020.02 ± 0.040.06 ± 0.05-0.01 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.04-0.01 ± 0.050.08 ± 0.03Au6-250-drift-au6-cd1-5000.02 ± 0.030.04 ± 0.050.05 ± 0.050.01 ± 0.050.00 ± 0.000.00 ± 0.000.00 ± 0.00-0.00 ± 0.030.01 ± 0.040.08 ± 0.04Au6-cd1-4000.03 ± 0.090.08 ± 0.070.24 ± 0.080.01 ± 0.090.00 ± 0.000.00 ± 0.000.00 ± 0.000.04 ± 0.080.03 ± 0.080.11 ± 0.08Au7-300-drift-au7-cpd1-8000.05 ± 0.050.15 ± 0.050.21 ± 0.060.14 ± 0.050.01 ± 0.020.01 ± 0.030.01 ± 0.030.15 ± 0.050.17 ± 0.060.03 ± 0.04Au7-7000.11 ± 0.100.14 ± 0.080.28 ± 0.060.03 ± 0.080.04 ± 0.040.03 ± 0.040.03 ± 0.040.11 ± 0.080.15 ± 0.050.17 ± 0.06Au7-cpd1-5000.03 ± 0.040.10 ± 0.080.37 ± 0.060.17 ± 0.08-0.00 ± 0.010.01 ± 0.030.01 ± 0.030.18 ± 0.080.16 ± 0.070.12 ± 0.07Audiology-std0.03 ± 0.040.69 ± 0.120.72 ± 0.090.70 ± 0.140.55 ± 0.100.61 ± 0.130.65 ± 0.100.81 ± 0.080.80 ± 0.050.30 ± 0.02Audit-risk0.80 ± 0.090.88 ± 0.041.00 ± 0.010.95 ± 0.030.97 ± 0.030.97 ± 0.030.98 ± 0.030.93 ± 0.060.93 ± 0.061.00 ± 0.00Autism-adolescent-data0.55 ± 0.200.96 ± 0.091.00 ± 0.000.79 ± 0.150.92 ± 0.110.89 ± 0.110.92 ± 0.110.78 ± 0.220.78 ± 0.221.00 ± 0.00Autism-adult-data0.49 ± 0.130.93 ± 0.061.00 ± 0.000.87 ± 0.090.98 ± 0.030.99 ± 0.020.99 ± 0.031.00 ± 0.001.00 ± 0.001.00 ± 0.00Autism-child-data0.83 ± 0.100.98 ± 0.031.00 ± 0.000.77 ± 0.070.99 ± 0.021.00 ± 0.001.00 ± 0.000.99 ± 0.020.99 ± 0.021.00 ± 0.00Autos0.62 ± 0.130.45 ± 0.160.78 ± 0.100.70 ± 0.130.03 ± 0.060.05 ± 0.070.05 ± 0.070.70 ± 0.080.70 ± 0.060.49 ± 0.13Avila0.96 ± 0.010.18 ± 0.020.92 ± 0.020.68 ± 0.030.56 ± 0.030.59 ± 0.030.61 ± 0.030.48 ± 0.030.49 ± 0.040.62 ± 0.03Balance-scale0.62 ± 0.050.82 ± 0.030.58 ± 0.060.67 ± 0.070.82 ± 0.030.87 ± 0.020.89 ± 0.020.84 ± 0.060.84 ± 0.060.19 ± 0.08Balloons0.50 ± 0.530.30 ± 0.480.40 ± 0.520.60 ± 0.520.50 ± 0.530.70 ± 0.480.70 ± 0.480.50 ± 0.530.50 ± 0.530.10 ± 0.57Bank0.00 ± 0.000.31 ± 0.060.36 ± 0.070.22 ± 0.060.27 ± 0.060.31 ± 0.050.34 ± 0.080.35 ± 0.080.37 ± 0.080.20 ± 0.07Blood0.05 ± 0.070.12 ± 0.080.34 ± 0.120.11 ± 0.110.20 ± 0.100.26 ± 0.050.26 ± 0.050.28 ± 0.090.30 ± 0.100.06 ± 0.08Breast-cancer-wisc-diag0.86 ± 0.080.85 ± 0.090.86 ± 0.080.91 ± 0.040.95 ± 0.050.95 ± 0.040.96 ± 0.020.92 ± 0.040.92 ± 0.040.77 ± 0.09Breast-cancer-wisc-prog0.00 ± 0.000.21 ± 0.290.29 ± 0.180.23 ± 0.290.20 ± 0.270.24 ± 0.340.24 ± 0.330.26 ± 0.260.27 ± 0.290.01 ± 0.21Breast-cancer-wisc0.91 ± 0.050.91 ± 0.040.86 ± 0.070.90 ± 0.070.94 ± 0.040.93 ± 0.040.93 ± 0.040.89 ± 0.080.90 ± 0.050.83 ± 0.11Breast-cancer0.01 ± 0.050.23 ± 0.180.21 ± 0.120.27 ± 0.180.23 ± 0.150.24 ± 0.160.22 ± 0.140.28 ± 0.180.18 ± 0.100.16 ± 0.13Breast-tissue0.61 ± 0.160.59 ± 0.180.59 ± 0.190.65 ± 0.170.49 ± 0.170.61 ± 0.200.63 ± 0.200.56 ± 0.110.55 ± 0.190.44 ± 0.12Bupa0.29 ± 0.110.19 ± 0.150.22 ± 0.180.21 ± 0.100.03 ± 0.050.03 ± 0.050.03 ± 0.050.30 ± 0.150.34 ± 0.140.05 ± 0.16Caesarian0.44 ± 0.310.31 ± 0.380.17 ± 0.350.25 ± 0.33-0.02 ± 0.090.20 ± 0.250.16 ± 0.290.11 ± 0.410.11 ± 0.44-0.00 ± 0.37Car0.00 ± 0.000.63 ± 0.090.95 ± 0.020.93 ± 0.030.94 ± 0.020.96 ± 0.020.96 ± 0.020.85 ± 0.030.86 ± 0.040.00 ± 0.00Cardiotocography-10classes0.58 ± 0.030.66 ± 0.030.80 ± 0.030.74 ± 0.030.77 ± 0.030.79 ± 0.030.80 ± 0.030.80 ± 0.040.78 ± 0.040.34 ± 0.03Cardiotocography-3classes0.00 ± 0.010.60 ± 0.060.81 ± 0.070.78 ± 0.050.75 ± 0.050.78 ± 0.060.78 ± 0.050.78 ± 0.030.78 ± 0.070.38 ± 0.12Cervical-cancer0.24 ± 0.300.76 ± 0.230.64 ± 0.330.71 ± 0.280.00 ± 0.000.12 ± 0.250.12 ± 0.250.82 ± 0.260.82 ± 0.260.37 ± 0.28Chemicalcomposionofceramic1.00 ± 0.001.00 ± 0.000.97 ± 0.081.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.00Chess-krvk0.15 ± 0.020.21 ± 0.020.46 ± 0.030.44 ± 0.040.39 ± 0.030.42 ± 0.030.43 ± 0.030.38 ± 0.030.36 ± 0.020.13 ± 0.02Chess-krvkp0.53 ± 0.030.71 ± 0.040.99 ± 0.010.91 ± 0.030.97 ± 0.020.98 ± 0.010.98 ± 0.010.98 ± 0.010.98 ± 0.010.32 ± 0.03Congressional-voting-0.00 ± 0.01-0.02 ± 0.16-0.03 ± 0.050.02 ± 0.130.04 ± 0.100.05 ± 0.120.04 ± 0.130.06 ± 0.170.04 ± 0.170.06 ± 0.07Conn-bench-sonar-mines-rocks0.53 ± 0.150.38 ± 0.180.42 ± 0.140.73 ± 0.140.68 ± 0.140.74 ± 0.160.77 ± 0.160.61 ± 0.220.64 ± 0.170.27 ± 0.21Conn-bench-vowel-deterding0.73 ± 0.030.62 ± 0.060.77 ± 0.070.99 ± 0.010.94 ± 0.020.97 ± 0.020.98 ± 0.020.83 ± 0.030.81 ± 0.040.29 ± 0.05Connect-40.00 ± 0.000.13 ± 0.070.45 ± 0.050.25 ± 0.070.00 ± 0.010.11 ± 0.040.21 ± 0.060.29 ± 0.050.33 ± 0.050.00 ± 0.00Connectionist0.56 ± 0.180.36 ± 0.220.48 ± 0.150.74 ± 0.120.19 ± 0.170.37 ± 0.240.44 ± 0.250.67 ± 0.180.67 ± 0.170.25 ± 0.14Contrac0.12 ± 0.060.23 ± 0.080.27 ± 0.060.12 ± 0.050.28 ± 0.040.29 ± 0.050.28 ± 0.060.31 ± 0.050.32 ± 0.050.15 ± 0.04Covid-190.60 ± 0.520.53 ± 0.500.63 ± 0.480.50 ± 0.550.40 ± 0.520.43 ± 0.500.53 ± 0.500.53 ± 0.500.53 ± 0.500.73 ± 0.44Credit-approval0.63 ± 0.090.52 ± 0.080.70 ± 0.080.64 ± 0.120.71 ± 0.110.70 ± 0.100.69 ± 0.090.70 ± 0.050.68 ± 0.080.71 ± 0.09Crowdsource0.29 ± 0.060.64 ± 0.050.76 ± 0.030.90 ± 0.020.27 ± 0.040.27 ± 0.040.27 ± 0.040.84 ± 0.040.84 ± 0.050.53 ± 0.05Crx0.66 ± 0.100.53 ± 0.070.72 ± 0.080.62 ± 0.100.03 ± 0.080.09 ± 0.110.12 ± 0.130.66 ± 0.090.67 ± 0.060.71 ± 0.09Cryother0.79 ± 0.280.66 ± 0.330.87 ± 0.160.80 ± 0.160.64 ± 0.260.66 ± 0.260.66 ± 0.260.75 ± 0.200.73 ± 0.180.62 ± 0.21Cylinder-bands0.16 ± 0.100.23 ± 0.150.41 ± 0.120.34 ± 0.160.46 ± 0.100.55 ± 0.110.60 ± 0.070.43 ± 0.110.45 ± 0.120.23 ± 0.10Dbworld-bodies0.07 ± 0.150.48 ± 0.340.61 ± 0.330.11 ± 0.220.00 ± 0.000.00 ± 0.000.22 ± 0.28//0.72 ± 0.27Dbworld-bodies-stemmed0.07 ± 0.150.51 ± 0.260.74 ± 0.270.24 ± 0.300.00 ± 0.000.11 ± 0.170.44 ± 0.29//0.51 ± 0.37Dbworld-subjects0.00 ± 0.000.79 ± 0.190.48 ± 0.210.61 ± 0.270.00 ± 0.000.00 ± 0.000.00 ± 0.000.79 ± 0.270.76 ± 0.310.20 ± 0.26Dbworld-subjects-stemmed0.00 ± 0.000.73 ± 0.260.54 ± 0.330.68 ± 0.200.00 ± 0.000.00 ± 0.000.00 ± 0.000.76 ± 0.240.73 ± 0.230.25 ± 0.19Dermatology0.81 ± 0.060.97 ± 0.030.96 ± 0.040.94 ± 0.050.97 ± 0.030.97 ± 0.030.97 ± 0.030.98 ± 0.020.97 ± 0.020.33 ± 0.04Diabetes0.29 ± 0.130.46 ± 0.130.41 ± 0.130.33 ± 0.120.00 ± 0.000.00 ± 0.000.00 ± 0.000.45 ± 0.100.45 ± 0.120.32 ± 0.15Diabetic0.28 ± 0.090.17 ± 0.040.29 ± 0.090.23 ± 0.100.13 ± 0.100.16 ± 0.130.16 ± 0.120.44 ± 0.120.45 ± 0.120.06 ± 0.11Divorce0.95 ± 0.060.95 ± 0.060.90 ± 0.110.95 ± 0.060.95 ± 0.060.95 ± 0.060.95 ± 0.060.95 ± 0.060.95 ± 0.060.90 ± 0.11Dota2train0.00 ± 0.000.08 ± 0.070.08 ± 0.110.09 ± 0.080.00 ± 0.000.03 ± 0.080.03 ± 0.07-0.00 ± 0.040.01 ± 0.040.08 ± 0.08Dow-jones-index0.30 ± 0.08-0.01 ± 0.100.45 ± 0.080.09 ± 0.130.00 ± 0.000.00 ± 0.000.00 ± 0.000.09 ± 0.110.09 ± 0.090.13 ± 0.06Dry-bean-dataset0.92 ± 0.020.88 ± 0.020.92 ± 0.010.93 ± 0.010.50 ± 0.040.50 ± 0.040.50 ± 0.040.91 ± 0.020.91 ± 0.020.61 ± 0.02Early-stage-diabetes-data-upload0.64 ± 0.160.73 ± 0.060.92 ± 0.060.96 ± 0.050.88 ± 0.090.89 ± 0.080.90 ± 0.080.92 ± 0.060.92 ± 0.070.65 ± 0.08Echocardiogram0.12 ± 0.210.53 ± 0.260.52 ± 0.220.43 ± 0.260.54 ± 0.220.53 ± 0.280.53 ± 0.280.52 ± 0.200.52 ± 0.250.63 ± 0.18Ecoli0.58 ± 0.070.82 ± 0.070.78 ± 0.100.73 ± 0.080.81 ± 0.060.81 ± 0.060.82 ± 0.050.81 ± 0.070.79 ± 0.050.53 ± 0.10Eegeyesate0.32 ± 0.030.01 ± 0.020.69 ± 0.020.67 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.06 ± 0.040.08 ± 0.050.22 ± 0.03Electrical0.62 ± 0.190.94 ± 0.111.00 ± 0.000.80 ± 0.160.58 ± 0.200.59 ± 0.170.62 ± 0.160.97 ± 0.040.97 ± 0.040.99 ± 0.02Energy-y10.68 ± 0.020.70 ± 0.050.96 ± 0.020.62 ± 0.060.81 ± 0.020.83 ± 0.030.84 ± 0.050.82 ± 0.030.80 ± 0.030.74 ± 0.03Energy-y20.84 ± 0.050.72 ± 0.050.84 ± 0.040.62 ± 0.050.84 ± 0.030.85 ± 0.020.86 ± 0.020.86 ± 0.040.86 ± 0.040.81 ± 0.05Extentionofz-alizadehsani0.00 ± 0.000.84 ± 0.090.99 ± 0.030.78 ± 0.110.00 ± 0.000.00 ± 0.000.00 ± 0.000.95 ± 0.050.95 ± 0.050.71 ± 0.09Fertility0.00 ± 0.000.00 ± 0.00-0.03 ± 0.060.14 ± 0.390.00 ± 0.000.10 ± 0.320.19 ± 0.430.43 ± 0.460.43 ± 0.470.00 ± 0.00First-order0.00 ± 0.000.03 ± 0.031.00 ± 0.000.97 ± 0.030.00 ± 0.000.66 ± 0.140.87 ± 0.070.99 ± 0.020.99 ± 0.020.18 ± 0.20Flags0.28 ± 0.140.34 ± 0.080.51 ± 0.100.31 ± 0.110.38 ± 0.110.41 ± 0.120.40 ± 0.150.34 ± 0.140.37 ± 0.130.45 ± 0.09Foresttypes0.92 ± 0.060.93 ± 0.060.93 ± 0.080.94 ± 0.050.01 ± 0.020.04 ± 0.040.04 ± 0.040.96 ± 0.050.96 ± 0.050.76 ± 0.11Garments-worker-productivity0.23 ± 0.030.07 ± 0.040.29 ± 0.080.02 ± 0.050.09 ± 0.040.10 ± 0.040.11 ± 0.040.20 ± 0.070.20 ± 0.050.08 ± 0.05Gender-name-dataset0.04 ± 0.040.00 ± 0.010.00 ± 0.000.16 ± 0.040.15 ± 0.030.16 ± 0.050.16 ± 0.040.00 ± 0.000.00 ± 0.000.08 ± 0.03Gesture-a1-raw0.83 ± 0.030.61 ± 0.040.87 ± 0.030.95 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.87 ± 0.030.87 ± 0.020.95 ± 0.02Gesture-a1-va30.48 ± 0.040.41 ± 0.050.50 ± 0.070.62 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.55 ± 0.030.55 ± 0.030.39 ± 0.03Gesture-a2-raw0.83 ± 0.030.56 ± 0.040.85 ± 0.040.92 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.85 ± 0.030.85 ± 0.030.92 ± 0.04Gesture-a2-va30.40 ± 0.040.25 ± 0.080.38 ± 0.030.53 ± 0.060.00 ± 0.000.00 ± 0.000.00 ± 0.000.43 ± 0.050.43 ± 0.060.30 ± 0.06Gesture-a3-raw0.87 ± 0.030.49 ± 0.050.90 ± 0.020.95 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.86 ± 0.020.85 ± 0.030.94 ± 0.02Gesture-a3-va30.42 ± 0.040.31 ± 0.040.68 ± 0.040.86 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.51 ± 0.050.53 ± 0.040.30 ± 0.03Gesture-b1-raw0.88 ± 0.040.33 ± 0.070.90 ± 0.040.93 ± 0.040.01 ± 0.010.01 ± 0.010.01 ± 0.010.83 ± 0.060.85 ± 0.030.88 ± 0.03Gesture-b1-va30.43 ± 0.090.16 ± 0.080.59 ± 0.060.87 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.47 ± 0.050.49 ± 0.070.18 ± 0.06Gesture-b3-raw0.86 ± 0.040.45 ± 0.050.88 ± 0.040.94 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.85 ± 0.050.84 ± 0.050.94 ± 0.03Gesture-b3-va30.25 ± 0.050.30 ± 0.050.44 ± 0.050.71 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.45 ± 0.070.42 ± 0.070.19 ± 0.08Gesture-c1-raw0.83 ± 0.040.54 ± 0.030.86 ± 0.030.93 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.84 ± 0.040.84 ± 0.050.92 ± 0.03Gesture-c1-va30.39 ± 0.050.38 ± 0.050.46 ± 0.050.62 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.54 ± 0.040.52 ± 0.050.25 ± 0.06Gesture-c3-raw0.85 ± 0.030.49 ± 0.070.84 ± 0.050.91 ± 0.030.00 ± 0.000.00 ± 0.000.00 ± 0.000.82 ± 0.040.79 ± 0.030.93 ± 0.02Gesture-c3-va30.31 ± 0.050.30 ± 0.030.42 ± 0.050.51 ± 0.060.00 ± 0.000.00 ± 0.000.00 ± 0.000.45 ± 0.050.43 ± 0.070.25 ± 0.04Glass0.52 ± 0.160.36 ± 0.130.56 ± 0.110.60 ± 0.110.61 ± 0.100.60 ± 0.120.59 ± 0.120.54 ± 0.130.55 ± 0.080.38 ± 0.13Go-track-tracks0.67 ± 0.210.65 ± 0.090.75 ± 0.160.82 ± 0.170.44 ± 0.260.44 ± 0.240.44 ± 0.240.68 ± 0.210.69 ± 0.180.52 ± 0.26Haberman-survival0.03 ± 0.110.19 ± 0.160.17 ± 0.160.09 ± 0.160.11 ± 0.140.09 ± 0.100.09 ± 0.100.20 ± 0.190.23 ± 0.200.18 ± 0.15Hayes-roth0.47 ± 0.160.62 ± 0.200.70 ± 0.100.71 ± 0.100.79 ± 0.110.71 ± 0.100.70 ± 0.100.56 ± 0.200.54 ± 0.210.10 ± 0.11Hcc-data0.05 ± 0.130.32 ± 0.200.16 ± 0.160.24 ± 0.190.00 ± 0.000.00 ± 0.000.00 ± 0.000.24 ± 0.320.23 ± 0.240.33 ± 0.24Hcvdat0.10 ± 0.110.66 ± 0.160.66 ± 0.090.52 ± 0.110.00 ± 0.000.00 ± 0.000.00 ± 0.000.69 ± 0.140.67 ± 0.130.44 ± 0.13Heart-cleveland0.00 ± 0.010.31 ± 0.140.23 ± 0.100.29 ± 0.090.28 ± 0.140.32 ± 0.140.30 ± 0.140.27 ± 0.090.28 ± 0.100.10 ± 0.11Heart-hungarian0.52 ± 0.180.59 ± 0.170.52 ± 0.150.51 ± 0.180.59 ± 0.170.60 ± 0.150.62 ± 0.140.52 ± 0.180.51 ± 0.170.53 ± 0.21Heart-switzerland0.10 ± 0.120.18 ± 0.150.15 ± 0.170.06 ± 0.190.06 ± 0.100.10 ± 0.100.13 ± 0.110.19 ± 0.210.20 ± 0.17-0.01 ± 0.18Heart-va0.05 ± 0.120.14 ± 0.130.12 ± 0.090.15 ± 0.100.13 ± 0.130.11 ± 0.110.09 ± 0.120.09 ± 0.130.07 ± 0.140.04 ± 0.13Heart-failure-clinical-records-dataset0.05 ± 0.070.41 ± 0.170.54 ± 0.140.15 ± 0.180.00 ± 0.000.00 ± 0.000.00 ± 0.000.37 ± 0.120.47 ± 0.210.65 ± 0.17Hepatitis0.00 ± 0.000.51 ± 0.300.36 ± 0.330.41 ± 0.230.35 ± 0.290.42 ± 0.400.42 ± 0.400.40 ± 0.350.29 ± 0.34-0.04 ± 0.19Hill-valley-0.00 ± 0.12-0.02 ± 0.05-0.00 ± 0.020.04 ± 0.070.04 ± 0.130.04 ± 0.150.06 ± 0.140.13 ± 0.150.07 ± 0.05-0.05 ± 0.10Hiv1625data0.80 ± 0.060.82 ± 0.050.73 ± 0.080.78 ± 0.050.76 ± 0.070.81 ± 0.070.82 ± 0.070.87 ± 0.060.82 ± 0.070.32 ± 0.08Hiv746data0.85 ± 0.070.82 ± 0.070.65 ± 0.100.73 ± 0.070.79 ± 0.080.82 ± 0.060.82 ± 0.070.85 ± 0.050.85 ± 0.070.61 ± 0.09Horse-colic0.34 ± 0.090.43 ± 0.120.71 ± 0.120.50 ± 0.150.63 ± 0.110.66 ± 0.120.67 ± 0.130.56 ± 0.130.56 ± 0.180.59 ± 0.12Htru0.80 ± 0.040.71 ± 0.020.86 ± 0.030.83 ± 0.020.06 ± 0.030.15 ± 0.030.15 ± 0.030.87 ± 0.020.87 ± 0.020.85 ± 0.02Hypothyroid0.00 ± 0.000.60 ± 0.080.97 ± 0.020.36 ± 0.080.08 ± 0.060.16 ± 0.090.17 ± 0.090.56 ± 0.120.51 ± 0.130.76 ± 0.06Ibeacon-rssi-labeled0.23 ± 0.030.19 ± 0.020.25 ± 0.030.36 ± 0.040.33 ± 0.020.36 ± 0.030.37 ± 0.030.27 ± 0.040.27 ± 0.040.03 ± 0.02Ilpd-indian-liver0.02 ± 0.060.25 ± 0.060.01 ± 0.110.18 ± 0.110.00 ± 0.000.02 ± 0.080.07 ± 0.070.09 ± 0.120.10 ± 0.120.04 ± 0.10Image-segmentation0.86 ± 0.060.74 ± 0.060.87 ± 0.090.85 ± 0.050.85 ± 0.040.85 ± 0.050.84 ± 0.050.88 ± 0.060.88 ± 0.060.52 ± 0.10Immunotherapy0.00 ± 0.000.13 ± 0.330.37 ± 0.390.06 ± 0.450.00 ± 0.000.00 ± 0.000.00 ± 0.000.37 ± 0.380.34 ± 0.280.49 ± 0.30Impensdata0.15 ± 0.090.58 ± 0.110.00 ± 0.000.42 ± 0.120.00 ± 0.000.00 ± 0.000.00 ± 0.000.63 ± 0.090.51 ± 0.160.15 ± 0.07In-vehicle-coupon-recommendation0.01 ± 0.000.29 ± 0.030.39 ± 0.020.28 ± 0.030.36 ± 0.030.37 ± 0.030.38 ± 0.030.39 ± 0.020.41 ± 0.020.20 ± 0.05Indian0.02 ± 0.040.25 ± 0.060.18 ± 0.140.17 ± 0.110.05 ± 0.080.03 ± 0.070.03 ± 0.070.13 ± 0.140.13 ± 0.170.04 ± 0.10Ionosphere0.73 ± 0.080.64 ± 0.110.81 ± 0.070.68 ± 0.110.87 ± 0.050.89 ± 0.070.91 ± 0.070.78 ± 0.060.79 ± 0.080.58 ± 0.17Iris0.72 ± 0.170.90 ± 0.080.94 ± 0.080.93 ± 0.080.95 ± 0.050.94 ± 0.070.95 ± 0.050.96 ± 0.050.96 ± 0.050.88 ± 0.09Jain0.82 ± 0.130.86 ± 0.110.99 ± 0.041.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.87 ± 0.090.87 ± 0.090.86 ± 0.10Jsbach-chorals-harmony0.00 ± 0.000.84 ± 0.030.82 ± 0.030.88 ± 0.030.79 ± 0.040.84 ± 0.020.85 ± 0.040.88 ± 0.030.86 ± 0.050.79 ± 0.03Knowledge0.44 ± 0.100.82 ± 0.160.89 ± 0.090.64 ± 0.120.77 ± 0.140.84 ± 0.130.88 ± 0.110.89 ± 0.080.89 ± 0.080.75 ± 0.14Lasvegastripadvisorreviews-0.01 ± 0.040.03 ± 0.050.02 ± 0.060.01 ± 0.04-0.02 ± 0.04-0.04 ± 0.05-0.01 ± 0.060.01 ± 0.080.02 ± 0.06-0.00 ± 0.04Leaf0.57 ± 0.060.71 ± 0.090.59 ± 0.08-0.00 ± 0.030.14 ± 0.040.21 ± 0.050.23 ± 0.060.49 ± 0.080.46 ± 0.080.21 ± 0.05Led-display0.67 ± 0.040.69 ± 0.030.68 ± 0.040.68 ± 0.040.69 ± 0.050.69 ± 0.040.68 ± 0.040.69 ± 0.040.69 ± 0.040.10 ± 0.01Lenses0.50 ± 0.530.50 ± 0.530.70 ± 0.420.75 ± 0.420.65 ± 0.470.70 ± 0.420.70 ± 0.420.50 ± 0.470.50 ± 0.470.53 ± 0.38Letter0.71 ± 0.010.63 ± 0.010.87 ± 0.010.96 ± 0.000.95 ± 0.000.96 ± 0.000.96 ± 0.000.82 ± 0.010.81 ± 0.010.14 ± 0.00Libras0.65 ± 0.100.61 ± 0.110.68 ± 0.110.85 ± 0.050.80 ± 0.040.84 ± 0.050.86 ± 0.040.79 ± 0.060.80 ± 0.060.15 ± 0.06Low-res-spect0.40 ± 0.080.72 ± 0.050.74 ± 0.050.75 ± 0.060.84 ± 0.040.84 ± 0.040.86 ± 0.040.88 ± 0.050.87 ± 0.040.60 ± 0.08Lung-cancer0.32 ± 0.340.48 ± 0.340.09 ± 0.420.27 ± 0.560.25 ± 0.350.36 ± 0.340.26 ± 0.400.18 ± 0.460.23 ± 0.390.19 ± 0.30Lymphography0.51 ± 0.160.65 ± 0.170.52 ± 0.160.53 ± 0.250.72 ± 0.180.71 ± 0.190.67 ± 0.170.62 ± 0.190.60 ± 0.190.53 ± 0.17Magic0.42 ± 0.040.35 ± 0.060.61 ± 0.050.55 ± 0.050.65 ± 0.050.65 ± 0.040.65 ± 0.030.65 ± 0.050.64 ± 0.040.37 ± 0.10Mammographic0.57 ± 0.070.57 ± 0.070.64 ± 0.040.50 ± 0.100.65 ± 0.040.64 ± 0.050.65 ± 0.050.63 ± 0.060.62 ± 0.060.63 ± 0.03Miniboone0.30 ± 0.090.02 ± 0.010.64 ± 0.060.58 ± 0.050.54 ± 0.080.59 ± 0.070.61 ± 0.060.56 ± 0.050.56 ± 0.050.49 ± 0.06Molec-biol-promoter0.77 ± 0.330.77 ± 0.220.49 ± 0.200.45 ± 0.240.65 ± 0.270.69 ± 0.240.69 ± 0.240.56 ± 0.220.54 ± 0.210.39 ± 0.22Molec-biol-splice0.00 ± 0.000.88 ± 0.030.88 ± 0.030.43 ± 0.030.79 ± 0.030.79 ± 0.030.79 ± 0.020.75 ± 0.040.75 ± 0.030.41 ± 0.03Monks-10.84 ± 0.190.43 ± 0.230.93 ± 0.140.41 ± 0.200.61 ± 0.240.66 ± 0.220.66 ± 0.190.77 ± 0.300.79 ± 0.340.46 ± 0.20Monks-20.00 ± 0.00-0.09 ± 0.210.50 ± 0.240.15 ± 0.24-0.00 ± 0.140.12 ± 0.270.21 ± 0.260.43 ± 0.260.45 ± 0.17-0.04 ± 0.07Monks-30.87 ± 0.170.77 ± 0.120.87 ± 0.170.49 ± 0.330.80 ± 0.150.79 ± 0.160.79 ± 0.160.68 ± 0.220.78 ± 0.140.56 ± 0.08Mushroom0.81 ± 0.020.78 ± 0.021.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.97 ± 0.01Musk-10.67 ± 0.120.48 ± 0.130.70 ± 0.130.70 ± 0.090.81 ± 0.090.85 ± 0.060.87 ± 0.060.88 ± 0.050.87 ± 0.060.22 ± 0.18Musk-20.33 ± 0.070.50 ± 0.060.83 ± 0.060.86 ± 0.030.84 ± 0.050.90 ± 0.040.92 ± 0.030.96 ± 0.030.95 ± 0.030.54 ± 0.07Newdiagnosis1.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.55 ± 0.14Nursery0.82 ± 0.020.85 ± 0.010.99 ± 0.000.84 ± 0.010.97 ± 0.000.98 ± 0.000.98 ± 0.000.94 ± 0.010.92 ± 0.020.57 ± 0.02Obesitydataset-raw-and-data-sinthetic0.80 ± 0.030.62 ± 0.030.93 ± 0.020.79 ± 0.030.88 ± 0.030.90 ± 0.030.91 ± 0.030.93 ± 0.030.93 ± 0.020.62 ± 0.04Obs-network-dataset-2-aug270.94 ± 0.030.60 ± 0.070.99 ± 0.020.99 ± 0.010.97 ± 0.010.97 ± 0.010.97 ± 0.010.95 ± 0.020.97 ± 0.020.86 ± 0.03Occupancy-data0.92 ± 0.020.91 ± 0.020.97 ± 0.020.98 ± 0.010.54 ± 0.060.57 ± 0.060.57 ± 0.060.96 ± 0.020.96 ± 0.020.97 ± 0.02Occupancy-data20.95 ± 0.010.89 ± 0.010.98 ± 0.000.98 ± 0.010.30 ± 0.030.42 ± 0.030.42 ± 0.030.98 ± 0.010.98 ± 0.000.98 ± 0.00Occupancy-data30.95 ± 0.020.93 ± 0.020.99 ± 0.000.98 ± 0.010.28 ± 0.030.37 ± 0.030.37 ± 0.030.96 ± 0.010.96 ± 0.010.98 ± 0.01Old0.76 ± 0.040.88 ± 0.020.90 ± 0.030.95 ± 0.020.90 ± 0.020.90 ± 0.030.91 ± 0.020.94 ± 0.020.94 ± 0.020.77 ± 0.03Online-shoppers-intention0.00 ± 0.000.42 ± 0.030.57 ± 0.020.26 ± 0.030.00 ± 0.000.00 ± 0.010.00 ± 0.010.56 ± 0.030.55 ± 0.060.52 ± 0.04Oocytes-merluccius-nucleus-4d0.24 ± 0.070.20 ± 0.080.42 ± 0.080.39 ± 0.080.40 ± 0.090.49 ± 0.070.52 ± 0.080.58 ± 0.040.56 ± 0.100.16 ± 0.14Oocytes-merluccius-states-2f0.74 ± 0.080.70 ± 0.070.80 ± 0.070.81 ± 0.060.82 ± 0.050.83 ± 0.040.84 ± 0.040.82 ± 0.030.81 ± 0.060.62 ± 0.10Oocytes-trisopterus-nucleus-2f0.23 ± 0.110.13 ± 0.100.43 ± 0.130.48 ± 0.110.60 ± 0.080.66 ± 0.070.65 ± 0.060.65 ± 0.080.63 ± 0.090.16 ± 0.13Oocytes-trisopterus-states-5b0.65 ± 0.100.51 ± 0.090.77 ± 0.050.82 ± 0.080.83 ± 0.070.84 ± 0.060.85 ± 0.050.87 ± 0.050.87 ± 0.060.58 ± 0.06Optdigits0.88 ± 0.010.90 ± 0.010.90 ± 0.020.98 ± 0.010.70 ± 0.020.72 ± 0.020.72 ± 0.020.98 ± 0.010.98 ± 0.010.19 ± 0.01Optical0.87 ± 0.020.91 ± 0.010.89 ± 0.020.98 ± 0.010.98 ± 0.010.99 ± 0.010.99 ± 0.010.98 ± 0.010.98 ± 0.010.20 ± 0.01Ozone0.00 ± 0.000.09 ± 0.030.20 ± 0.130.16 ± 0.120.00 ± 0.000.00 ± 0.000.00 ± 0.000.30 ± 0.180.32 ± 0.16-0.00 ± 0.01Page-blocks0.45 ± 0.090.55 ± 0.050.83 ± 0.020.78 ± 0.030.77 ± 0.050.79 ± 0.050.80 ± 0.050.78 ± 0.040.78 ± 0.030.64 ± 0.03Parkingbirmingham0.80 ± 0.020.75 ± 0.021.00 ± 0.000.97 ± 0.010.57 ± 0.040.60 ± 0.040.60 ± 0.040.86 ± 0.020.87 ± 0.021.00 ± 0.00Parkinsons0.45 ± 0.260.40 ± 0.190.47 ± 0.160.91 ± 0.070.59 ± 0.230.67 ± 0.210.73 ± 0.190.76 ± 0.190.72 ± 0.230.57 ± 0.25Pasture0.59 ± 0.340.62 ± 0.350.66 ± 0.340.58 ± 0.410.00 ± 0.000.00 ± 0.000.00 ± 0.000.64 ± 0.400.60 ± 0.420.47 ± 0.36Pbc0.43 ± 0.120.51 ± 0.160.50 ± 0.190.21 ± 0.180.00 ± 0.000.00 ± 0.000.00 ± 0.000.39 ± 0.110.43 ± 0.080.39 ± 0.19Pen0.86 ± 0.010.84 ± 0.010.96 ± 0.010.99 ± 0.000.03 ± 0.010.05 ± 0.010.05 ± 0.010.94 ± 0.010.94 ± 0.000.32 ± 0.02Pendigits0.85 ± 0.010.87 ± 0.020.96 ± 0.010.99 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.95 ± 0.010.94 ± 0.010.33 ± 0.02Pharynx0.00 ± 0.00-0.06 ± 0.190.00 ± 0.00-0.08 ± 0.240.07 ± 0.220.09 ± 0.290.04 ± 0.270.01 ± 0.160.02 ± 0.06-0.01 ± 0.08Phishingwebsites0.69 ± 0.020.86 ± 0.010.92 ± 0.010.94 ± 0.010.89 ± 0.010.90 ± 0.010.90 ± 0.010.93 ± 0.010.94 ± 0.010.77 ± 0.01Pima0.28 ± 0.120.46 ± 0.130.41 ± 0.130.33 ± 0.120.44 ± 0.090.43 ± 0.090.43 ± 0.080.45 ± 0.100.45 ± 0.120.32 ± 0.15Pittsburg-bridges-rel-l0.39 ± 0.190.42 ± 0.240.33 ± 0.270.51 ± 0.290.37 ± 0.260.40 ± 0.260.51 ± 0.200.35 ± 0.260.41 ± 0.210.46 ± 0.21Pittsburg-bridges-span0.24 ± 0.180.44 ± 0.250.32 ± 0.250.29 ± 0.280.39 ± 0.250.38 ± 0.280.37 ± 0.280.42 ± 0.180.46 ± 0.220.12 ± 0.23Pittsburg-bridges-t-or-d0.00 ± 0.000.19 ± 0.400.09 ± 0.340.30 ± 0.430.09 ± 0.320.24 ± 0.450.31 ± 0.450.30 ± 0.530.29 ± 0.540.38 ± 0.43Pittsburg-bridges-type0.32 ± 0.170.41 ± 0.160.48 ± 0.130.44 ± 0.160.34 ± 0.170.47 ± 0.240.49 ± 0.190.47 ± 0.220.46 ± 0.210.36 ± 0.09Pittsburg-bridgesmaterial0.50 ± 0.280.59 ± 0.170.65 ± 0.230.61 ± 0.250.62 ± 0.150.60 ± 0.130.59 ± 0.210.60 ± 0.180.52 ± 0.160.62 ± 0.14Planning0.03 ± 0.08-0.01 ± 0.150.00 ± 0.000.12 ± 0.200.00 ± 0.000.01 ± 0.15-0.05 ± 0.140.00 ± 0.18-0.07 ± 0.20-0.08 ± 0.18Plant-margin0.63 ± 0.040.85 ± 0.030.48 ± 0.050.74 ± 0.030.83 ± 0.020.85 ± 0.030.85 ± 0.030.83 ± 0.020.83 ± 0.030.07 ± 0.02Plant-shape0.49 ± 0.040.53 ± 0.030.46 ± 0.030.64 ± 0.030.48 ± 0.020.56 ± 0.030.60 ± 0.030.64 ± 0.040.65 ± 0.030.08 ± 0.02Plant-texture0.62 ± 0.030.74 ± 0.030.51 ± 0.040.80 ± 0.030.83 ± 0.030.85 ± 0.020.86 ± 0.020.84 ± 0.020.83 ± 0.020.03 ± 0.01Poker-hand-training-true0.00 ± 0.000.00 ± 0.000.20 ± 0.030.06 ± 0.010.22 ± 0.020.21 ± 0.020.20 ± 0.020.11 ± 0.020.08 ± 0.030.00 ± 0.00Post-operative0.00 ± 0.00-0.03 ± 0.140.00 ± 0.00-0.06 ± 0.240.00 ± 0.00-0.02 ± 0.10-0.02 ± 0.16-0.10 ± 0.22-0.09 ± 0.27-0.03 ± 0.07Primary-tumor0.01 ± 0.020.36 ± 0.110.35 ± 0.100.27 ± 0.090.37 ± 0.130.36 ± 0.120.35 ± 0.140.33 ± 0.090.33 ± 0.100.08 ± 0.03Qsarbioconcentration-0.00 ± 0.01-0.01 ± 0.04-0.03 ± 0.060.01 ± 0.15-0.00 ± 0.01-0.02 ± 0.05-0.05 ± 0.06-0.03 ± 0.080.00 ± 0.07-0.01 ± 0.08Qsarbiodegradation0.15 ± 0.070.52 ± 0.060.63 ± 0.080.64 ± 0.050.68 ± 0.060.69 ± 0.050.67 ± 0.060.70 ± 0.050.71 ± 0.060.46 ± 0.09Qualitative-bankruptcy0.98 ± 0.050.98 ± 0.050.96 ± 0.061.00 ± 0.000.97 ± 0.060.97 ± 0.060.99 ± 0.030.98 ± 0.050.98 ± 0.050.97 ± 0.06Ringnorm0.58 ± 0.030.97 ± 0.010.83 ± 0.010.50 ± 0.030.97 ± 0.010.97 ± 0.010.97 ± 0.010.84 ± 0.030.83 ± 0.020.29 ± 0.02Risk-factors-cervical-cancer0.00 ± 0.000.41 ± 0.090.59 ± 0.190.49 ± 0.170.00 ± 0.000.02 ± 0.090.23 ± 0.210.53 ± 0.190.50 ± 0.220.73 ± 0.13Robotnavigation0.88 ± 0.020.36 ± 0.030.99 ± 0.000.82 ± 0.020.85 ± 0.020.87 ± 0.010.88 ± 0.010.82 ± 0.030.82 ± 0.040.61 ± 0.03Sapfile0.15 ± 0.180.30 ± 0.150.16 ± 0.210.09 ± 0.110.14 ± 0.140.17 ± 0.110.19 ± 0.130.19 ± 0.140.17 ± 0.190.05 ± 0.20Sat0.81 ± 0.010.75 ± 0.020.83 ± 0.010.88 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.87 ± 0.020.86 ± 0.010.50 ± 0.02Satelite0.81 ± 0.010.75 ± 0.010.83 ± 0.010.88 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.87 ± 0.010.87 ± 0.010.51 ± 0.02Scadi0.34 ± 0.110.76 ± 0.130.72 ± 0.190.72 ± 0.190.66 ± 0.120.70 ± 0.190.74 ± 0.210.72 ± 0.140.72 ± 0.140.41 ± 0.12Schillingdata0.02 ± 0.020.71 ± 0.040.00 ± 0.000.43 ± 0.060.00 ± 0.000.27 ± 0.090.53 ± 0.050.69 ± 0.060.60 ± 0.100.01 ± 0.02Seeds0.80 ± 0.100.87 ± 0.070.88 ± 0.090.91 ± 0.030.91 ± 0.060.91 ± 0.060.91 ± 0.060.93 ± 0.050.94 ± 0.050.74 ± 0.15Segment0.89 ± 0.030.77 ± 0.020.96 ± 0.010.97 ± 0.010.60 ± 0.030.62 ± 0.030.61 ± 0.030.95 ± 0.010.96 ± 0.010.58 ± 0.03Seismic-bumps0.00 ± 0.000.22 ± 0.09-0.00 ± 0.000.11 ± 0.080.00 ± 0.000.00 ± 0.000.00 ± 0.000.06 ± 0.090.07 ± 0.060.00 ± 0.03Semeion0.76 ± 0.040.84 ± 0.030.73 ± 0.030.91 ± 0.020.95 ± 0.010.96 ± 0.010.96 ± 0.010.92 ± 0.020.92 ± 0.020.11 ± 0.00Setapprocesst10.06 ± 0.190.16 ± 0.410.17 ± 0.450.15 ± 0.24-0.08 ± 0.130.07 ± 0.310.03 ± 0.240.15 ± 0.470.13 ± 0.490.38 ± 0.47Setapprocesst100.00 ± 0.000.01 ± 0.280.05 ± 0.320.09 ± 0.400.00 ± 0.000.00 ± 0.000.00 ± 0.00-0.03 ± 0.50-0.01 ± 0.410.00 ± 0.20Setapprocesst110.00 ± 0.000.08 ± 0.370.24 ± 0.440.08 ± 0.330.00 ± 0.000.00 ± 0.000.00 ± 0.000.20 ± 0.290.29 ± 0.33-0.03 ± 0.21Setapprocesst20.06 ± 0.190.25 ± 0.360.34 ± 0.500.14 ± 0.480.00 ± 0.000.00 ± 0.000.00 ± 0.000.18 ± 0.400.24 ± 0.410.53 ± 0.44Setapprocesst30.00 ± 0.000.22 ± 0.300.12 ± 0.350.18 ± 0.380.00 ± 0.000.00 ± 0.000.00 ± 0.000.23 ± 0.320.18 ± 0.28-0.02 ± 0.35Setapprocesst40.00 ± 0.000.01 ± 0.46-0.12 ± 0.30-0.02 ± 0.410.00 ± 0.000.00 ± 0.000.00 ± 0.00-0.04 ± 0.43-0.07 ± 0.390.23 ± 0.34Setapprocesst50.10 ± 0.210.01 ± 0.30-0.11 ± 0.320.06 ± 0.34-0.02 ± 0.07-0.05 ± 0.10-0.05 ± 0.100.06 ± 0.220.11 ± 0.260.25 ± 0.46Setapprocesst60.00 ± 0.000.24 ± 0.360.14 ± 0.370.09 ± 0.350.00 ± 0.000.00 ± 0.000.00 ± 0.000.11 ± 0.420.10 ± 0.370.05 ± 0.40Setapprocesst70.06 ± 0.190.40 ± 0.380.14 ± 0.450.09 ± 0.360.00 ± 0.000.00 ± 0.000.00 ± 0.000.32 ± 0.460.33 ± 0.43-0.04 ± 0.34Setapprocesst80.00 ± 0.000.35 ± 0.250.37 ± 0.320.08 ± 0.390.00 ± 0.000.00 ± 0.000.00 ± 0.000.23 ± 0.390.21 ± 0.42-0.15 ± 0.20Setapprocesst90.00 ± 0.000.27 ± 0.340.35 ± 0.36-0.04 ± 0.230.00 ± 0.000.00 ± 0.000.00 ± 0.000.32 ± 0.420.27 ± 0.36-0.08 ± 0.30Shillbiddingdataset0.25 ± 0.060.85 ± 0.020.98 ± 0.010.96 ± 0.010.98 ± 0.010.98 ± 0.010.98 ± 0.010.98 ± 0.010.99 ± 0.010.87 ± 0.02Shuttle-landing-control0.90 ± 0.320.70 ± 0.480.90 ± 0.320.90 ± 0.320.90 ± 0.320.90 ± 0.320.90 ± 0.320.80 ± 0.420.70 ± 0.480.80 ± 0.42Somervillehappinesssurvey20150.12 ± 0.260.18 ± 0.200.28 ± 0.340.16 ± 0.250.19 ± 0.220.16 ± 0.200.16 ± 0.230.17 ± 0.190.18 ± 0.230.31 ± 0.32Sonar0.52 ± 0.150.37 ± 0.180.42 ± 0.140.73 ± 0.140.29 ± 0.110.39 ± 0.180.46 ± 0.190.64 ± 0.210.63 ± 0.190.25 ± 0.22Soybean0.65 ± 0.070.91 ± 0.060.86 ± 0.060.86 ± 0.050.89 ± 0.070.91 ± 0.050.91 ± 0.050.89 ± 0.080.90 ± 0.070.22 ± 0.04Spambase0.48 ± 0.030.59 ± 0.030.85 ± 0.030.81 ± 0.020.86 ± 0.020.86 ± 0.020.86 ± 0.020.81 ± 0.030.78 ± 0.130.54 ± 0.04Speaker-accent0.04 ± 0.040.47 ± 0.120.57 ± 0.130.73 ± 0.120.22 ± 0.080.32 ± 0.100.32 ± 0.100.71 ± 0.110.64 ± 0.120.13 ± 0.08Spect0.14 ± 0.230.36 ± 0.420.19 ± 0.40-0.08 ± 0.360.04 ± 0.280.06 ± 0.340.05 ± 0.31-0.05 ± 0.44-0.03 ± 0.380.19 ± 0.28Spectf0.38 ± 0.240.50 ± 0.240.47 ± 0.250.35 ± 0.380.35 ± 0.130.35 ± 0.130.53 ± 0.280.42 ± 0.290.45 ± 0.310.43 ± 0.17Statlog-australian-credit-0.00 ± 0.010.09 ± 0.080.15 ± 0.150.00 ± 0.060.02 ± 0.04-0.00 ± 0.120.02 ± 0.120.06 ± 0.130.04 ± 0.080.09 ± 0.15Statlog-german-credit0.00 ± 0.000.39 ± 0.140.35 ± 0.120.23 ± 0.100.36 ± 0.110.41 ± 0.090.42 ± 0.110.30 ± 0.070.32 ± 0.080.12 ± 0.06Statlog-heart0.66 ± 0.160.66 ± 0.150.52 ± 0.200.50 ± 0.170.65 ± 0.100.60 ± 0.160.59 ± 0.190.56 ± 0.140.60 ± 0.170.41 ± 0.12Statlog-image0.89 ± 0.030.77 ± 0.020.96 ± 0.010.97 ± 0.010.93 ± 0.010.94 ± 0.010.95 ± 0.010.95 ± 0.010.96 ± 0.010.58 ± 0.03Statlog-landsat0.82 ± 0.020.75 ± 0.030.83 ± 0.020.88 ± 0.020.87 ± 0.020.88 ± 0.020.88 ± 0.020.86 ± 0.020.86 ± 0.020.51 ± 0.02Statlog-shuttle0.38 ± 0.020.75 ± 0.031.00 ± 0.001.00 ± 0.000.99 ± 0.000.99 ± 0.000.99 ± 0.000.99 ± 0.000.99 ± 0.000.86 ± 0.01Statlog-vehicle0.55 ± 0.040.27 ± 0.040.63 ± 0.080.60 ± 0.060.69 ± 0.050.74 ± 0.030.74 ± 0.030.76 ± 0.040.74 ± 0.060.35 ± 0.07Steel-plates0.46 ± 0.040.52 ± 0.050.69 ± 0.040.64 ± 0.030.68 ± 0.040.70 ± 0.030.70 ± 0.040.65 ± 0.040.65 ± 0.040.30 ± 0.05Synthetic-control0.87 ± 0.030.94 ± 0.040.90 ± 0.040.96 ± 0.030.99 ± 0.010.99 ± 0.010.99 ± 0.010.99 ± 0.010.99 ± 0.010.48 ± 0.05Teaching0.25 ± 0.170.31 ± 0.130.39 ± 0.170.43 ± 0.200.34 ± 0.220.42 ± 0.190.43 ± 0.180.31 ± 0.170.28 ± 0.140.20 ± 0.16Thoraricsurgery0.00 ± 0.000.05 ± 0.150.00 ± 0.040.04 ± 0.170.00 ± 0.00-0.01 ± 0.02-0.01 ± 0.020.11 ± 0.130.15 ± 0.20-0.01 ± 0.04Thyroid0.61 ± 0.210.92 ± 0.090.83 ± 0.140.94 ± 0.050.27 ± 0.190.34 ± 0.170.34 ± 0.170.93 ± 0.070.93 ± 0.070.79 ± 0.20Thyroid-train0.00 ± 0.000.63 ± 0.100.98 ± 0.020.39 ± 0.100.51 ± 0.100.60 ± 0.080.67 ± 0.080.72 ± 0.100.68 ± 0.090.78 ± 0.05Tic-tac-toe0.00 ± 0.000.27 ± 0.080.86 ± 0.051.00 ± 0.000.97 ± 0.030.98 ± 0.020.99 ± 0.020.95 ± 0.020.95 ± 0.030.34 ± 0.05Titanic0.40 ± 0.070.42 ± 0.060.43 ± 0.050.43 ± 0.050.43 ± 0.060.43 ± 0.060.43 ± 0.060.44 ± 0.060.42 ± 0.060.44 ± 0.05Trains0.70 ± 0.480.60 ± 0.520.70 ± 0.480.60 ± 0.520.60 ± 0.520.70 ± 0.480.70 ± 0.480.80 ± 0.420.80 ± 0.420.00 ± 0.00Transfusion0.05 ± 0.070.16 ± 0.100.34 ± 0.120.12 ± 0.120.08 ± 0.110.06 ± 0.090.04 ± 0.100.28 ± 0.090.30 ± 0.100.06 ± 0.08Trial0.87 ± 0.070.80 ± 0.071.00 ± 0.000.99 ± 0.020.98 ± 0.020.99 ± 0.010.99 ± 0.010.98 ± 0.020.99 ± 0.021.00 ± 0.00Turkiye-student-evaluation0.00 ± 0.000.75 ± 0.031.00 ± 0.000.82 ± 0.030.91 ± 0.010.93 ± 0.010.93 ± 0.011.00 ± 0.001.00 ± 0.001.00 ± 0.00Unbalanced0.00 ± 0.000.07 ± 0.130.00 ± 0.000.16 ± 0.360.00 ± 0.00-0.00 ± 0.00-0.01 ± 0.01-0.00 ± 0.010.04 ± 0.160.00 ± 0.00Urbanlandcover0.77 ± 0.120.75 ± 0.110.76 ± 0.090.73 ± 0.130.00 ± 0.000.00 ± 0.000.00 ± 0.000.74 ± 0.140.74 ± 0.140.42 ± 0.16Userknowledgemodeling0.48 ± 0.110.85 ± 0.080.92 ± 0.050.73 ± 0.140.67 ± 0.100.79 ± 0.060.79 ± 0.060.88 ± 0.050.90 ± 0.070.79 ± 0.11Vehicle0.59 ± 0.060.27 ± 0.060.63 ± 0.080.60 ± 0.060.07 ± 0.030.08 ± 0.040.08 ± 0.040.76 ± 0.050.75 ± 0.060.36 ± 0.07Vertebral-column-2classes0.34 ± 0.230.55 ± 0.130.57 ± 0.160.60 ± 0.110.66 ± 0.130.64 ± 0.150.65 ± 0.140.63 ± 0.170.62 ± 0.160.43 ± 0.15Vertebral-column-3classes0.50 ± 0.180.73 ± 0.090.72 ± 0.090.66 ± 0.080.74 ± 0.090.76 ± 0.110.75 ± 0.100.77 ± 0.070.76 ± 0.090.59 ± 0.11Veteran0.03 ± 0.100.22 ± 0.210.36 ± 0.170.07 ± 0.210.00 ± 0.000.00 ± 0.000.00 ± 0.000.06 ± 0.340.19 ± 0.350.35 ± 0.18Vowel0.59 ± 0.040.60 ± 0.050.80 ± 0.050.99 ± 0.010.84 ± 0.030.90 ± 0.020.92 ± 0.020.92 ± 0.040.93 ± 0.030.25 ± 0.05Wall-following0.88 ± 0.020.36 ± 0.020.99 ± 0.000.82 ± 0.020.83 ± 0.020.86 ± 0.020.87 ± 0.020.81 ± 0.020.82 ± 0.030.61 ± 0.02Waveform-noise0.51 ± 0.030.70 ± 0.030.63 ± 0.020.60 ± 0.020.79 ± 0.020.78 ± 0.020.77 ± 0.020.75 ± 0.020.75 ± 0.020.31 ± 0.04Waveform0.56 ± 0.020.72 ± 0.020.64 ± 0.020.65 ± 0.030.80 ± 0.020.78 ± 0.020.78 ± 0.020.76 ± 0.020.75 ± 0.020.29 ± 0.02Wbc0.93 ± 0.040.95 ± 0.030.84 ± 0.050.91 ± 0.060.95 ± 0.030.95 ± 0.030.95 ± 0.040.91 ± 0.030.92 ± 0.040.80 ± 0.07Wdbc0.86 ± 0.080.85 ± 0.090.86 ± 0.080.91 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.93 ± 0.040.91 ± 0.050.78 ± 0.07Weathernominal0.40 ± 0.700.40 ± 0.520.30 ± 0.670.40 ± 0.700.50 ± 0.530.40 ± 0.520.60 ± 0.520.60 ± 0.520.60 ± 0.520.20 ± 0.63Weathernumeric0.30 ± 0.670.50 ± 0.530.50 ± 0.710.70 ± 0.480.50 ± 0.530.20 ± 0.790.20 ± 0.790.70 ± 0.480.70 ± 0.480.20 ± 0.63Website-phishingdata0.67 ± 0.040.71 ± 0.040.84 ± 0.040.79 ± 0.050.73 ± 0.020.74 ± 0.020.78 ± 0.040.80 ± 0.040.82 ± 0.040.66 ± 0.03Wholesalecustomersdata0.76 ± 0.050.75 ± 0.090.78 ± 0.060.72 ± 0.110.00 ± 0.000.00 ± 0.000.00 ± 0.000.81 ± 0.070.79 ± 0.090.78 ± 0.08Wifi-localization0.90 ± 0.020.98 ± 0.010.96 ± 0.010.98 ± 0.010.72 ± 0.030.74 ± 0.030.74 ± 0.030.97 ± 0.010.97 ± 0.010.72 ± 0.06Wilt0.00 ± 0.000.30 ± 0.080.82 ± 0.050.42 ± 0.070.06 ± 0.040.06 ± 0.040.06 ± 0.040.75 ± 0.130.79 ± 0.080.01 ± 0.03Wine-quality-red0.36 ± 0.060.31 ± 0.060.39 ± 0.050.45 ± 0.040.39 ± 0.040.39 ± 0.040.40 ± 0.040.36 ± 0.060.36 ± 0.040.24 ± 0.05Wine-quality-white0.27 ± 0.040.22 ± 0.020.38 ± 0.040.49 ± 0.040.30 ± 0.040.32 ± 0.040.33 ± 0.040.28 ± 0.040.27 ± 0.030.13 ± 0.03Wine0.94 ± 0.090.95 ± 0.080.91 ± 0.080.92 ± 0.060.98 ± 0.040.97 ± 0.040.97 ± 0.040.96 ± 0.060.96 ± 0.060.65 ± 0.14Yamilnaduelectricty0.15 ± 0.010.00 ± 0.000.09 ± 0.010.17 ± 0.010.00 ± 0.010.00 ± 0.010.00 ± 0.010.00 ± 0.010.00 ± 0.010.01 ± 0.01Yeast0.27 ± 0.040.45 ± 0.030.43 ± 0.060.38 ± 0.030.48 ± 0.060.48 ± 0.060.48 ± 0.060.47 ± 0.050.46 ± 0.040.18 ± 0.05Youtobe-kabita-preprocessing0.22 ± 0.030.14 ± 0.010.23 ± 0.020.21 ± 0.020.27 ± 0.030.26 ± 0.030.25 ± 0.020.22 ± 0.010.23 ± 0.020.21 ± 0.02Youtobe-nisha-preprocessing0.27 ± 0.020.22 ± 0.020.28 ± 0.010.25 ± 0.020.31 ± 0.020.29 ± 0.020.29 ± 0.030.27 ± 0.020.26 ± 0.030.20 ± 0.02Z-alizadehsani0.00 ± 0.000.54 ± 0.150.47 ± 0.210.50 ± 0.130.00 ± 0.000.00 ± 0.000.00 ± 0.000.57 ± 0.180.56 ± 0.170.30 ± 0.21Zoo0.88 ± 0.120.95 ± 0.080.90 ± 0.120.95 ± 0.080.92 ± 0.110.92 ± 0.110.92 ± 0.110.94 ± 0.090.94 ± 0.090.65 ± 0.14Average k (rank)0.4171 (9)0.5010 (5)0.5910 (2)0.5595 (4)0.4182 (8)0.4412 (7)0.4528 (6)0.5920 (1)0.5898 (3)0.4004 (10)Average k std (rank)0.0828 (4)0.1118 (7)0.1067 (6)0.1151 (9)0.0694 (1)0.0798 (2)0.0808 (3)0.1150 (8)0.1157 (10)0.1061 (5)Table 8
The detailed experimental results on root mean squared error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone0.41 ± 0.010.46 ± 0.020.45 ± 0.010.53 ± 0.020.47 ± 0.020.47 ± 0.020.47 ± 0.020.39 ± 0.010.39 ± 0.010.51 ± 0.01Absenteeism-at-work0.32 ± 0.010.33 ± 0.040.03 ± 0.050.40 ± 0.040.39 ± 0.040.39 ± 0.040.39 ± 0.040.14 ± 0.030.15 ± 0.040.21 ± 0.04Acute-inflammatioactn0.25 ± 0.020.15 ± 0.030.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.45 ± 0.10Acute-nephritis0.22 ± 0.010.14 ± 0.130.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.22 ± 0.20Adult0.40 ± 0.000.40 ± 0.030.38 ± 0.030.46 ± 0.040.41 ± 0.050.40 ± 0.050.41 ± 0.050.38 ± 0.030.39 ± 0.030.44 ± 0.01Aggregation0.14 ± 0.020.02 ± 0.010.02 ± 0.030.01 ± 0.020.01 ± 0.020.01 ± 0.030.01 ± 0.030.06 ± 0.020.05 ± 0.020.34 ± 0.01Algerianforest0.33 ± 0.030.19 ± 0.140.16 ± 0.130.33 ± 0.100.64 ± 0.010.62 ± 0.040.62 ± 0.040.14 ± 0.100.12 ± 0.110.09 ± 0.15Annealing0.26 ± 0.000.31 ± 0.030.11 ± 0.040.20 ± 0.020.21 ± 0.030.18 ± 0.030.18 ± 0.020.17 ± 0.040.16 ± 0.040.26 ± 0.00Arrhythmia0.22 ± 0.000.24 ± 0.020.22 ± 0.020.26 ± 0.010.24 ± 0.010.23 ± 0.010.23 ± 0.010.20 ± 0.020.23 ± 0.030.25 ± 0.01Au1-10000.43 ± 0.000.43 ± 0.010.43 ± 0.040.51 ± 0.040.51 ± 0.000.51 ± 0.000.51 ± 0.010.53 ± 0.030.51 ± 0.040.51 ± 0.00Au4-25000.42 ± 0.000.43 ± 0.010.41 ± 0.040.49 ± 0.030.51 ± 0.020.51 ± 0.020.51 ± 0.020.44 ± 0.030.44 ± 0.030.56 ± 0.03Au6-10000.33 ± 0.000.34 ± 0.000.43 ± 0.010.46 ± 0.010.44 ± 0.000.44 ± 0.000.44 ± 0.000.43 ± 0.010.43 ± 0.010.43 ± 0.01Au6-250-drift-au6-cd1-5000.33 ± 0.000.34 ± 0.010.43 ± 0.010.45 ± 0.010.44 ± 0.000.44 ± 0.000.44 ± 0.000.42 ± 0.010.42 ± 0.010.43 ± 0.01Au6-cd1-4000.32 ± 0.000.34 ± 0.010.37 ± 0.020.45 ± 0.020.42 ± 0.000.42 ± 0.000.42 ± 0.000.40 ± 0.020.40 ± 0.010.41 ± 0.02Au7-300-drift-au7-cpd1-8000.39 ± 0.000.39 ± 0.010.46 ± 0.020.52 ± 0.020.54 ± 0.010.54 ± 0.010.54 ± 0.010.42 ± 0.010.42 ± 0.010.55 ± 0.01Au7-7000.36 ± 0.000.36 ± 0.010.41 ± 0.020.51 ± 0.020.50 ± 0.010.50 ± 0.010.50 ± 0.010.41 ± 0.010.41 ± 0.010.47 ± 0.02Au7-cpd1-5000.38 ± 0.000.38 ± 0.010.40 ± 0.020.50 ± 0.020.50 ± 0.000.50 ± 0.010.50 ± 0.010.45 ± 0.020.45 ± 0.030.49 ± 0.02Audiology-std0.21 ± 0.000.16 ± 0.030.15 ± 0.030.16 ± 0.040.20 ± 0.020.19 ± 0.030.18 ± 0.030.12 ± 0.020.13 ± 0.020.24 ± 0.00Audit-risk0.30 ± 0.020.22 ± 0.050.01 ± 0.040.14 ± 0.060.10 ± 0.080.09 ± 0.080.07 ± 0.080.15 ± 0.050.16 ± 0.050.00 ± 0.00Autism-adolescent-data0.39 ± 0.030.11 ± 0.070.00 ± 0.000.27 ± 0.150.12 ± 0.160.15 ± 0.160.12 ± 0.160.23 ± 0.180.23 ± 0.180.00 ± 0.00Autism-adult-data0.34 ± 0.010.12 ± 0.060.00 ± 0.000.21 ± 0.080.05 ± 0.070.03 ± 0.060.04 ± 0.070.01 ± 0.000.01 ± 0.000.00 ± 0.00Autism-child-data0.41 ± 0.010.10 ± 0.040.00 ± 0.000.33 ± 0.060.02 ± 0.060.00 ± 0.000.00 ± 0.000.03 ± 0.040.04 ± 0.040.00 ± 0.00Autos0.26 ± 0.010.31 ± 0.050.20 ± 0.040.25 ± 0.060.43 ± 0.010.43 ± 0.020.43 ± 0.020.23 ± 0.030.23 ± 0.030.33 ± 0.04Avila0.14 ± 0.000.29 ± 0.000.09 ± 0.010.20 ± 0.010.23 ± 0.010.22 ± 0.010.22 ± 0.010.21 ± 0.000.21 ± 0.010.22 ± 0.01Balance-scale0.34 ± 0.010.28 ± 0.010.37 ± 0.030.33 ± 0.040.25 ± 0.020.22 ± 0.010.21 ± 0.020.20 ± 0.030.21 ± 0.030.54 ± 0.03Balloons0.42 ± 0.110.50 ± 0.030.51 ± 0.190.37 ± 0.100.38 ± 0.410.24 ± 0.400.24 ± 0.400.38 ± 0.330.37 ± 0.340.65 ± 0.37Bank0.31 ± 0.000.35 ± 0.010.31 ± 0.010.37 ± 0.020.32 ± 0.010.32 ± 0.010.32 ± 0.020.30 ± 0.010.30 ± 0.020.34 ± 0.01Blood0.42 ± 0.010.43 ± 0.020.40 ± 0.020.53 ± 0.040.46 ± 0.020.46 ± 0.020.46 ± 0.020.39 ± 0.010.39 ± 0.010.49 ± 0.02Breast-cancer-wisc-diag0.28 ± 0.020.24 ± 0.110.24 ± 0.100.20 ± 0.050.13 ± 0.080.12 ± 0.080.12 ± 0.070.17 ± 0.050.17 ± 0.080.32 ± 0.06Breast-cancer-wisc-prog0.42 ± 0.020.52 ± 0.100.47 ± 0.080.51 ± 0.100.45 ± 0.070.46 ± 0.100.46 ± 0.100.46 ± 0.090.47 ± 0.100.54 ± 0.07Breast-cancer-wisc0.20 ± 0.040.20 ± 0.050.23 ± 0.070.19 ± 0.090.15 ± 0.080.15 ± 0.090.17 ± 0.070.19 ± 0.100.19 ± 0.070.26 ± 0.09Breast-cancer0.43 ± 0.020.45 ± 0.050.46 ± 0.030.54 ± 0.070.51 ± 0.050.52 ± 0.060.53 ± 0.050.48 ± 0.060.51 ± 0.040.54 ± 0.05Breast-tissue0.29 ± 0.030.29 ± 0.080.30 ± 0.090.28 ± 0.100.37 ± 0.080.32 ± 0.090.29 ± 0.130.28 ± 0.040.29 ± 0.050.39 ± 0.04Bupa0.47 ± 0.010.51 ± 0.040.54 ± 0.060.62 ± 0.040.64 ± 0.020.64 ± 0.020.64 ± 0.020.47 ± 0.040.47 ± 0.040.67 ± 0.06Caesarian0.46 ± 0.050.47 ± 0.100.49 ± 0.050.58 ± 0.120.67 ± 0.050.61 ± 0.090.63 ± 0.120.60 ± 0.150.60 ± 0.130.70 ± 0.15Car0.32 ± 0.000.23 ± 0.010.10 ± 0.030.12 ± 0.020.11 ± 0.030.09 ± 0.030.09 ± 0.030.15 ± 0.020.15 ± 0.020.39 ± 0.00Cardiotocography-10classes0.24 ± 0.000.22 ± 0.010.17 ± 0.010.21 ± 0.010.19 ± 0.010.19 ± 0.010.18 ± 0.010.17 ± 0.010.18 ± 0.010.32 ± 0.01Cardiotocography-3classes0.31 ± 0.000.33 ± 0.030.21 ± 0.040.23 ± 0.030.24 ± 0.030.23 ± 0.030.23 ± 0.030.21 ± 0.020.20 ± 0.030.35 ± 0.03Cervical-cancer0.38 ± 0.030.23 ± 0.170.30 ± 0.220.26 ± 0.220.54 ± 0.030.51 ± 0.070.51 ± 0.070.16 ± 0.160.16 ± 0.160.46 ± 0.10Chemicalcomposionofceramic0.25 ± 0.020.00 ± 0.000.04 ± 0.110.01 ± 0.000.74 ± 0.020.74 ± 0.020.74 ± 0.020.01 ± 0.010.01 ± 0.000.00 ± 0.00Chess-krvk0.22 ± 0.000.21 ± 0.000.21 ± 0.010.23 ± 0.010.24 ± 0.010.24 ± 0.010.24 ± 0.010.20 ± 0.000.20 ± 0.000.29 ± 0.00Chess-krvkp0.47 ± 0.000.32 ± 0.020.07 ± 0.040.23 ± 0.020.11 ± 0.040.08 ± 0.040.09 ± 0.030.07 ± 0.030.07 ± 0.040.58 ± 0.01Congressional-voting0.48 ± 0.000.48 ± 0.040.49 ± 0.020.50 ± 0.050.62 ± 0.030.62 ± 0.040.63 ± 0.050.49 ± 0.040.49 ± 0.040.61 ± 0.02Conn-bench-sonar-mines-rocks0.46 ± 0.010.53 ± 0.070.52 ± 0.060.35 ± 0.100.39 ± 0.100.33 ± 0.140.31 ± 0.140.38 ± 0.140.36 ± 0.140.60 ± 0.09Conn-bench-vowel-deterding0.22 ± 0.000.20 ± 0.010.18 ± 0.030.02 ± 0.030.10 ± 0.020.06 ± 0.030.04 ± 0.040.15 ± 0.020.16 ± 0.020.34 ± 0.01Connect-40.43 ± 0.000.48 ± 0.010.41 ± 0.020.53 ± 0.030.51 ± 0.000.49 ± 0.010.48 ± 0.020.47 ± 0.020.47 ± 0.020.51 ± 0.00Connectionist0.46 ± 0.010.53 ± 0.100.49 ± 0.070.35 ± 0.080.62 ± 0.070.54 ± 0.130.49 ± 0.190.36 ± 0.110.36 ± 0.110.61 ± 0.06Contrac0.45 ± 0.000.46 ± 0.020.47 ± 0.020.61 ± 0.020.55 ± 0.010.55 ± 0.020.55 ± 0.020.43 ± 0.010.43 ± 0.010.59 ± 0.01Covid-190.38 ± 0.090.35 ± 0.190.33 ± 0.310.40 ± 0.270.39 ± 0.350.42 ± 0.370.34 ± 0.370.31 ± 0.290.31 ± 0.300.20 ± 0.32Credit-approval0.42 ± 0.010.43 ± 0.040.36 ± 0.040.42 ± 0.070.38 ± 0.070.38 ± 0.060.39 ± 0.060.35 ± 0.040.37 ± 0.040.38 ± 0.06Crowdsource0.22 ± 0.000.22 ± 0.020.19 ± 0.010.12 ± 0.010.29 ± 0.010.29 ± 0.010.29 ± 0.010.15 ± 0.020.15 ± 0.020.27 ± 0.01Crx0.42 ± 0.010.43 ± 0.030.33 ± 0.040.43 ± 0.060.66 ± 0.030.66 ± 0.030.65 ± 0.040.38 ± 0.050.37 ± 0.030.38 ± 0.06Cryother0.34 ± 0.050.31 ± 0.160.20 ± 0.150.26 ± 0.180.39 ± 0.180.37 ± 0.180.37 ± 0.180.28 ± 0.130.32 ± 0.120.42 ± 0.12Cylinder-bands0.46 ± 0.010.54 ± 0.060.50 ± 0.060.55 ± 0.060.49 ± 0.040.46 ± 0.050.43 ± 0.040.48 ± 0.050.48 ± 0.040.58 ± 0.04Dbworld-bodies0.49 ± 0.010.46 ± 0.200.36 ± 0.250.62 ± 0.080.67 ± 0.040.67 ± 0.040.59 ± 0.11//0.28 ± 0.25Dbworld-bodies-stemmed0.49 ± 0.010.45 ± 0.180.28 ± 0.220.58 ± 0.120.67 ± 0.040.64 ± 0.070.50 ± 0.12//0.44 ± 0.27Dbworld-subjects0.49 ± 0.010.28 ± 0.150.44 ± 0.100.42 ± 0.150.67 ± 0.040.67 ± 0.040.67 ± 0.040.25 ± 0.200.25 ± 0.230.60 ± 0.10Dbworld-subjects-stemmed0.49 ± 0.010.27 ± 0.160.39 ± 0.170.37 ± 0.140.67 ± 0.040.67 ± 0.040.67 ± 0.040.26 ± 0.200.27 ± 0.200.62 ± 0.08Dermatology0.27 ± 0.000.07 ± 0.050.09 ± 0.060.10 ± 0.070.07 ± 0.060.06 ± 0.060.06 ± 0.070.07 ± 0.030.07 ± 0.030.41 ± 0.01Diabetes0.43 ± 0.020.41 ± 0.040.44 ± 0.050.54 ± 0.040.59 ± 0.000.59 ± 0.000.59 ± 0.000.42 ± 0.030.42 ± 0.040.53 ± 0.05Diabetic0.47 ± 0.010.65 ± 0.020.51 ± 0.030.62 ± 0.040.65 ± 0.040.64 ± 0.050.63 ± 0.050.43 ± 0.040.43 ± 0.040.68 ± 0.04Divorce0.15 ± 0.060.10 ± 0.130.17 ± 0.140.09 ± 0.110.10 ± 0.130.10 ± 0.130.10 ± 0.130.08 ± 0.100.08 ± 0.110.16 ± 0.15Dota2train0.50 ± 0.000.52 ± 0.020.60 ± 0.040.62 ± 0.030.69 ± 0.000.68 ± 0.030.69 ± 0.020.65 ± 0.070.64 ± 0.080.67 ± 0.03Dow-jones-index0.47 ± 0.010.55 ± 0.030.46 ± 0.030.67 ± 0.050.69 ± 0.000.69 ± 0.000.69 ± 0.000.53 ± 0.030.54 ± 0.030.66 ± 0.02Dry-bean-dataset0.14 ± 0.000.16 ± 0.010.13 ± 0.010.12 ± 0.010.33 ± 0.010.33 ± 0.010.33 ± 0.010.13 ± 0.010.13 ± 0.010.30 ± 0.01Early-stage-diabetes-data-upload0.39 ± 0.010.32 ± 0.050.19 ± 0.060.11 ± 0.090.22 ± 0.110.20 ± 0.110.18 ± 0.120.15 ± 0.070.16 ± 0.080.42 ± 0.05Echocardiogram0.43 ± 0.030.40 ± 0.150.42 ± 0.110.49 ± 0.110.40 ± 0.150.41 ± 0.170.41 ± 0.170.42 ± 0.110.42 ± 0.120.37 ± 0.09Ecoli0.24 ± 0.010.16 ± 0.030.18 ± 0.050.22 ± 0.040.18 ± 0.030.18 ± 0.030.18 ± 0.030.17 ± 0.020.18 ± 0.020.29 ± 0.03Eegeyesate0.46 ± 0.000.70 ± 0.060.38 ± 0.010.40 ± 0.030.67 ± 0.000.67 ± 0.000.67 ± 0.000.50 ± 0.010.50 ± 0.020.61 ± 0.01Electrical0.35 ± 0.040.14 ± 0.070.00 ± 0.000.27 ± 0.120.41 ± 0.090.41 ± 0.080.40 ± 0.080.08 ± 0.070.08 ± 0.070.02 ± 0.06Energy-y10.31 ± 0.000.30 ± 0.020.12 ± 0.030.40 ± 0.030.27 ± 0.020.26 ± 0.020.26 ± 0.040.24 ± 0.010.25 ± 0.020.32 ± 0.02Energy-y20.29 ± 0.010.27 ± 0.030.22 ± 0.030.40 ± 0.030.26 ± 0.030.25 ± 0.020.24 ± 0.020.21 ± 0.020.21 ± 0.030.28 ± 0.04Extentionofz-alizadehsani0.42 ± 0.010.23 ± 0.070.02 ± 0.060.30 ± 0.080.54 ± 0.010.54 ± 0.010.54 ± 0.010.09 ± 0.090.09 ± 0.090.36 ± 0.07Fertility0.32 ± 0.050.33 ± 0.050.36 ± 0.070.38 ± 0.170.34 ± 0.060.31 ± 0.120.29 ± 0.170.29 ± 0.130.30 ± 0.150.34 ± 0.06First-order0.29 ± 0.000.82 ± 0.020.00 ± 0.000.06 ± 0.050.31 ± 0.010.21 ± 0.040.13 ± 0.060.02 ± 0.030.02 ± 0.030.30 ± 0.03Flags0.29 ± 0.010.33 ± 0.020.30 ± 0.040.36 ± 0.030.34 ± 0.030.34 ± 0.040.34 ± 0.050.33 ± 0.040.32 ± 0.030.33 ± 0.03Foresttypes0.28 ± 0.010.13 ± 0.090.12 ± 0.100.13 ± 0.080.59 ± 0.010.58 ± 0.020.58 ± 0.020.10 ± 0.070.10 ± 0.070.29 ± 0.07Garments-worker-productivity0.37 ± 0.000.41 ± 0.010.41 ± 0.020.54 ± 0.010.51 ± 0.010.51 ± 0.010.50 ± 0.010.39 ± 0.010.39 ± 0.010.52 ± 0.01Gender-name-dataset0.49 ± 0.000.61 ± 0.010.49 ± 0.000.48 ± 0.010.60 ± 0.010.60 ± 0.020.60 ± 0.020.49 ± 0.000.49 ± 0.000.63 ± 0.01Gesture-a1-raw0.20 ± 0.010.29 ± 0.020.18 ± 0.020.12 ± 0.020.49 ± 0.000.49 ± 0.000.49 ± 0.000.17 ± 0.020.17 ± 0.010.11 ± 0.03Gesture-a1-va30.31 ± 0.010.38 ± 0.020.35 ± 0.030.32 ± 0.020.49 ± 0.000.49 ± 0.000.49 ± 0.000.30 ± 0.010.31 ± 0.020.39 ± 0.01Gesture-a2-raw0.21 ± 0.000.33 ± 0.020.20 ± 0.030.14 ± 0.050.49 ± 0.000.49 ± 0.000.49 ± 0.000.18 ± 0.020.18 ± 0.020.14 ± 0.03Gesture-a2-va30.33 ± 0.010.44 ± 0.040.40 ± 0.010.36 ± 0.020.49 ± 0.000.49 ± 0.000.49 ± 0.000.35 ± 0.020.35 ± 0.020.43 ± 0.02Gesture-a3-raw0.18 ± 0.010.35 ± 0.010.16 ± 0.010.12 ± 0.020.51 ± 0.000.51 ± 0.000.51 ± 0.000.19 ± 0.010.19 ± 0.020.14 ± 0.02Gesture-a3-va30.33 ± 0.000.43 ± 0.010.30 ± 0.020.20 ± 0.020.51 ± 0.000.51 ± 0.000.51 ± 0.000.32 ± 0.010.32 ± 0.010.44 ± 0.01Gesture-b1-raw0.18 ± 0.010.38 ± 0.020.15 ± 0.030.13 ± 0.040.45 ± 0.000.45 ± 0.000.45 ± 0.000.18 ± 0.020.17 ± 0.010.17 ± 0.02Gesture-b1-va30.33 ± 0.010.49 ± 0.030.34 ± 0.020.19 ± 0.030.50 ± 0.000.50 ± 0.000.50 ± 0.000.33 ± 0.010.33 ± 0.020.48 ± 0.02Gesture-b3-raw0.23 ± 0.010.36 ± 0.020.18 ± 0.030.13 ± 0.010.52 ± 0.000.52 ± 0.000.52 ± 0.000.20 ± 0.040.20 ± 0.030.13 ± 0.03Gesture-b3-va30.37 ± 0.010.45 ± 0.020.40 ± 0.020.30 ± 0.020.52 ± 0.000.52 ± 0.000.52 ± 0.000.35 ± 0.020.37 ± 0.020.49 ± 0.02Gesture-c1-raw0.23 ± 0.010.34 ± 0.010.20 ± 0.020.15 ± 0.020.55 ± 0.000.55 ± 0.000.55 ± 0.000.20 ± 0.030.20 ± 0.030.15 ± 0.03Gesture-c1-va30.35 ± 0.010.41 ± 0.020.39 ± 0.020.34 ± 0.020.55 ± 0.000.55 ± 0.000.55 ± 0.000.34 ± 0.020.35 ± 0.010.48 ± 0.02Gesture-c3-raw0.22 ± 0.010.36 ± 0.020.21 ± 0.030.16 ± 0.030.54 ± 0.000.54 ± 0.000.54 ± 0.000.21 ± 0.020.23 ± 0.010.15 ± 0.02Gesture-c3-va30.36 ± 0.010.44 ± 0.010.40 ± 0.020.39 ± 0.020.54 ± 0.000.54 ± 0.000.54 ± 0.000.36 ± 0.020.37 ± 0.020.48 ± 0.01Glass0.29 ± 0.010.36 ± 0.030.31 ± 0.040.31 ± 0.050.30 ± 0.040.30 ± 0.040.31 ± 0.040.28 ± 0.030.28 ± 0.020.38 ± 0.04Go-track-tracks0.37 ± 0.040.38 ± 0.060.30 ± 0.140.24 ± 0.180.52 ± 0.110.52 ± 0.110.52 ± 0.110.32 ± 0.090.32 ± 0.090.48 ± 0.14Haberman-survival0.43 ± 0.010.43 ± 0.040.43 ± 0.020.57 ± 0.060.52 ± 0.050.54 ± 0.030.54 ± 0.030.43 ± 0.030.43 ± 0.030.52 ± 0.03Hayes-roth0.34 ± 0.020.36 ± 0.020.28 ± 0.050.21 ± 0.050.28 ± 0.110.35 ± 0.060.36 ± 0.060.34 ± 0.100.34 ± 0.100.61 ± 0.03Hcc-data0.46 ± 0.010.53 ± 0.070.54 ± 0.060.60 ± 0.070.62 ± 0.020.62 ± 0.020.62 ± 0.020.54 ± 0.110.56 ± 0.090.54 ± 0.12Hcvdat0.19 ± 0.010.17 ± 0.040.17 ± 0.030.19 ± 0.020.23 ± 0.010.23 ± 0.010.23 ± 0.010.14 ± 0.030.16 ± 0.030.21 ± 0.02Heart-cleveland0.33 ± 0.010.34 ± 0.040.40 ± 0.040.42 ± 0.030.41 ± 0.040.40 ± 0.050.41 ± 0.050.38 ± 0.030.38 ± 0.040.43 ± 0.03Heart-hungarian0.39 ± 0.030.39 ± 0.080.41 ± 0.070.46 ± 0.090.42 ± 0.090.41 ± 0.080.40 ± 0.090.42 ± 0.080.42 ± 0.060.45 ± 0.11Heart-switzerland0.37 ± 0.010.40 ± 0.030.45 ± 0.050.51 ± 0.050.49 ± 0.030.49 ± 0.020.48 ± 0.030.42 ± 0.050.42 ± 0.040.52 ± 0.05Heart-va0.39 ± 0.010.42 ± 0.030.48 ± 0.020.50 ± 0.030.51 ± 0.040.52 ± 0.030.53 ± 0.040.47 ± 0.030.48 ± 0.030.54 ± 0.04Heart-failure-clinical-records-dataset0.44 ± 0.010.41 ± 0.040.41 ± 0.060.58 ± 0.060.57 ± 0.010.57 ± 0.010.57 ± 0.010.48 ± 0.050.45 ± 0.090.37 ± 0.08Hepatitis0.38 ± 0.020.37 ± 0.100.41 ± 0.120.41 ± 0.070.40 ± 0.080.35 ± 0.190.35 ± 0.190.39 ± 0.110.42 ± 0.120.50 ± 0.07Hill-valley0.51 ± 0.010.70 ± 0.050.50 ± 0.000.69 ± 0.030.69 ± 0.050.69 ± 0.050.68 ± 0.050.48 ± 0.020.49 ± 0.020.72 ± 0.03Hiv1625data0.25 ± 0.020.22 ± 0.040.27 ± 0.030.27 ± 0.020.28 ± 0.040.25 ± 0.040.25 ± 0.050.20 ± 0.050.24 ± 0.050.45 ± 0.02Hiv746data0.30 ± 0.030.26 ± 0.050.37 ± 0.040.34 ± 0.040.32 ± 0.060.30 ± 0.050.29 ± 0.060.25 ± 0.050.26 ± 0.060.43 ± 0.06Horse-colic0.43 ± 0.010.47 ± 0.060.34 ± 0.080.48 ± 0.080.40 ± 0.070.39 ± 0.070.38 ± 0.080.44 ± 0.050.42 ± 0.100.42 ± 0.06Htru0.16 ± 0.010.23 ± 0.010.14 ± 0.020.17 ± 0.010.30 ± 0.000.29 ± 0.000.29 ± 0.000.13 ± 0.010.13 ± 0.010.15 ± 0.01Hypothyroid0.18 ± 0.000.14 ± 0.010.04 ± 0.020.21 ± 0.020.19 ± 0.000.19 ± 0.010.19 ± 0.010.15 ± 0.040.17 ± 0.040.14 ± 0.02Ibeacon-rssi-labeled0.09 ± 0.000.10 ± 0.000.09 ± 0.000.09 ± 0.000.11 ± 0.000.11 ± 0.000.11 ± 0.000.09 ± 0.000.09 ± 0.000.13 ± 0.00Ilpd-indian-liver0.43 ± 0.010.65 ± 0.040.47 ± 0.030.59 ± 0.050.54 ± 0.010.54 ± 0.020.54 ± 0.020.42 ± 0.010.42 ± 0.010.58 ± 0.03Image-segmentation0.23 ± 0.010.24 ± 0.030.16 ± 0.080.19 ± 0.040.19 ± 0.020.19 ± 0.040.19 ± 0.040.14 ± 0.030.15 ± 0.030.34 ± 0.04Immunotherapy0.38 ± 0.020.40 ± 0.080.37 ± 0.130.50 ± 0.210.46 ± 0.040.46 ± 0.040.46 ± 0.040.37 ± 0.100.39 ± 0.110.37 ± 0.16Impensdata0.30 ± 0.010.26 ± 0.030.36 ± 0.000.33 ± 0.030.40 ± 0.000.40 ± 0.000.40 ± 0.000.29 ± 0.030.31 ± 0.040.39 ± 0.03In-vehicle-coupon-recommendation0.48 ± 0.000.47 ± 0.010.46 ± 0.010.56 ± 0.010.56 ± 0.010.55 ± 0.010.55 ± 0.010.52 ± 0.010.51 ± 0.010.63 ± 0.01Indian0.43 ± 0.010.65 ± 0.040.48 ± 0.040.60 ± 0.060.53 ± 0.020.53 ± 0.010.53 ± 0.010.43 ± 0.020.43 ± 0.020.58 ± 0.03Ionosphere0.30 ± 0.020.39 ± 0.060.28 ± 0.060.36 ± 0.070.23 ± 0.050.21 ± 0.090.19 ± 0.090.29 ± 0.030.28 ± 0.050.42 ± 0.11Iris0.28 ± 0.040.14 ± 0.080.11 ± 0.120.13 ± 0.130.11 ± 0.110.11 ± 0.120.11 ± 0.110.10 ± 0.090.10 ± 0.090.19 ± 0.14Jain0.20 ± 0.060.18 ± 0.060.02 ± 0.070.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.18 ± 0.050.18 ± 0.050.19 ± 0.11Jsbach-chorals-harmony0.26 ± 0.000.16 ± 0.010.17 ± 0.010.14 ± 0.010.19 ± 0.020.18 ± 0.010.17 ± 0.020.15 ± 0.020.16 ± 0.030.20 ± 0.02Knowledge0.36 ± 0.020.25 ± 0.070.15 ± 0.100.34 ± 0.060.27 ± 0.090.20 ± 0.130.16 ± 0.130.17 ± 0.080.17 ± 0.070.29 ± 0.08Lasvegastripadvisorreviews0.35 ± 0.000.39 ± 0.010.42 ± 0.010.49 ± 0.010.50 ± 0.010.50 ± 0.010.50 ± 0.010.45 ± 0.010.45 ± 0.020.49 ± 0.01Leaf0.15 ± 0.000.12 ± 0.020.15 ± 0.020.24 ± 0.000.24 ± 0.010.22 ± 0.010.22 ± 0.010.15 ± 0.010.16 ± 0.010.23 ± 0.01Led-display0.26 ± 0.000.20 ± 0.010.21 ± 0.010.21 ± 0.010.24 ± 0.020.24 ± 0.020.24 ± 0.020.20 ± 0.010.21 ± 0.010.40 ± 0.00Lenses0.33 ± 0.100.42 ± 0.120.23 ± 0.260.19 ± 0.180.24 ± 0.310.21 ± 0.270.21 ± 0.270.29 ± 0.240.31 ± 0.250.39 ± 0.29Letter0.17 ± 0.000.14 ± 0.000.09 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.05 ± 0.000.11 ± 0.000.11 ± 0.000.25 ± 0.00Libras0.21 ± 0.010.21 ± 0.030.19 ± 0.030.13 ± 0.030.16 ± 0.020.14 ± 0.020.13 ± 0.020.15 ± 0.020.14 ± 0.020.32 ± 0.01Low-res-spect0.21 ± 0.000.21 ± 0.020.19 ± 0.020.19 ± 0.020.15 ± 0.020.15 ± 0.020.14 ± 0.020.12 ± 0.020.13 ± 0.020.24 ± 0.02Lung-cancer0.44 ± 0.020.45 ± 0.140.55 ± 0.140.48 ± 0.270.52 ± 0.200.49 ± 0.200.53 ± 0.210.54 ± 0.110.54 ± 0.120.58 ± 0.10Lymphography0.32 ± 0.010.26 ± 0.060.33 ± 0.070.32 ± 0.130.24 ± 0.110.26 ± 0.080.28 ± 0.070.27 ± 0.060.27 ± 0.070.34 ± 0.06Magic0.40 ± 0.010.49 ± 0.020.38 ± 0.020.45 ± 0.030.39 ± 0.030.39 ± 0.020.39 ± 0.020.34 ± 0.030.36 ± 0.030.53 ± 0.04Mammographic0.40 ± 0.010.41 ± 0.040.36 ± 0.020.47 ± 0.050.41 ± 0.030.42 ± 0.030.42 ± 0.030.37 ± 0.020.38 ± 0.030.43 ± 0.01Miniboone0.36 ± 0.010.84 ± 0.010.36 ± 0.030.40 ± 0.020.39 ± 0.030.38 ± 0.030.37 ± 0.030.34 ± 0.020.34 ± 0.020.43 ± 0.02Molec-biol-promoter0.45 ± 0.020.27 ± 0.140.48 ± 0.100.51 ± 0.120.40 ± 0.140.36 ± 0.170.36 ± 0.170.42 ± 0.100.43 ± 0.100.54 ± 0.10Molec-biol-splice0.44 ± 0.000.20 ± 0.020.21 ± 0.030.50 ± 0.010.29 ± 0.020.29 ± 0.020.30 ± 0.010.29 ± 0.020.30 ± 0.020.49 ± 0.02Monks-10.40 ± 0.030.43 ± 0.080.09 ± 0.130.54 ± 0.100.39 ± 0.220.36 ± 0.210.38 ± 0.160.22 ± 0.220.18 ± 0.240.51 ± 0.10Monks-20.49 ± 0.020.50 ± 0.030.44 ± 0.100.61 ± 0.090.65 ± 0.060.62 ± 0.110.59 ± 0.100.45 ± 0.100.44 ± 0.070.64 ± 0.04Monks-30.39 ± 0.040.32 ± 0.060.20 ± 0.160.47 ± 0.150.26 ± 0.190.29 ± 0.170.29 ± 0.170.32 ± 0.160.28 ± 0.120.47 ± 0.04Mushroom0.34 ± 0.010.32 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.12 ± 0.02Musk-10.41 ± 0.010.49 ± 0.070.37 ± 0.090.38 ± 0.060.30 ± 0.080.27 ± 0.060.24 ± 0.060.21 ± 0.050.21 ± 0.050.61 ± 0.07Musk-20.29 ± 0.010.37 ± 0.020.20 ± 0.030.19 ± 0.020.20 ± 0.030.16 ± 0.030.14 ± 0.030.10 ± 0.040.10 ± 0.040.32 ± 0.02Newdiagnosis0.25 ± 0.020.15 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.47 ± 0.08Nursery0.33 ± 0.000.19 ± 0.010.04 ± 0.010.18 ± 0.010.08 ± 0.010.07 ± 0.010.07 ± 0.010.10 ± 0.020.12 ± 0.020.34 ± 0.01Obesitydataset-raw-and-data-sinthetic0.28 ± 0.000.25 ± 0.010.13 ± 0.020.23 ± 0.020.17 ± 0.020.15 ± 0.020.15 ± 0.020.12 ± 0.030.12 ± 0.010.31 ± 0.02Obs-network-dataset-2-aug270.21 ± 0.010.36 ± 0.030.01 ± 0.030.06 ± 0.030.11 ± 0.020.11 ± 0.020.11 ± 0.020.11 ± 0.030.09 ± 0.030.21 ± 0.03Occupancy-data0.17 ± 0.020.20 ± 0.020.11 ± 0.030.09 ± 0.030.44 ± 0.020.42 ± 0.030.42 ± 0.030.13 ± 0.030.12 ± 0.030.11 ± 0.03Occupancy-data20.14 ± 0.010.19 ± 0.010.07 ± 0.010.07 ± 0.010.41 ± 0.010.38 ± 0.010.38 ± 0.010.07 ± 0.010.07 ± 0.010.08 ± 0.01Occupancy-data30.12 ± 0.010.14 ± 0.020.07 ± 0.010.07 ± 0.020.41 ± 0.010.39 ± 0.010.39 ± 0.010.09 ± 0.010.09 ± 0.010.08 ± 0.01Old0.42 ± 0.000.21 ± 0.020.20 ± 0.030.13 ± 0.030.22 ± 0.020.22 ± 0.030.21 ± 0.030.15 ± 0.030.15 ± 0.030.34 ± 0.02Online-shoppers-intention0.34 ± 0.000.39 ± 0.010.30 ± 0.010.43 ± 0.010.39 ± 0.000.39 ± 0.000.40 ± 0.000.28 ± 0.010.29 ± 0.020.34 ± 0.01Oocytes-merluccius-nucleus-4d0.43 ± 0.010.59 ± 0.040.44 ± 0.020.53 ± 0.040.48 ± 0.030.44 ± 0.030.43 ± 0.040.38 ± 0.030.39 ± 0.040.57 ± 0.04Oocytes-merluccius-states-2f0.25 ± 0.020.31 ± 0.040.24 ± 0.040.24 ± 0.040.23 ± 0.040.23 ± 0.030.22 ± 0.030.21 ± 0.020.22 ± 0.030.34 ± 0.04Oocytes-trisopterus-nucleus-2f0.46 ± 0.010.64 ± 0.040.49 ± 0.050.50 ± 0.060.43 ± 0.040.40 ± 0.040.41 ± 0.030.36 ± 0.040.39 ± 0.040.64 ± 0.05Oocytes-trisopterus-states-5b0.29 ± 0.030.39 ± 0.030.26 ± 0.040.24 ± 0.050.23 ± 0.050.22 ± 0.040.22 ± 0.040.19 ± 0.040.19 ± 0.040.36 ± 0.03Optdigits0.27 ± 0.000.13 ± 0.010.13 ± 0.010.05 ± 0.010.23 ± 0.010.22 ± 0.010.22 ± 0.010.05 ± 0.010.05 ± 0.010.38 ± 0.00Optical0.27 ± 0.000.12 ± 0.010.14 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.06 ± 0.010.38 ± 0.00Ozone0.17 ± 0.010.53 ± 0.030.20 ± 0.010.22 ± 0.020.17 ± 0.010.17 ± 0.010.17 ± 0.010.18 ± 0.020.17 ± 0.020.18 ± 0.01Page-blocks0.14 ± 0.010.19 ± 0.010.11 ± 0.010.13 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.11 ± 0.010.11 ± 0.010.16 ± 0.01Parkingbirmingham0.09 ± 0.010.10 ± 0.000.00 ± 0.000.04 ± 0.010.17 ± 0.010.16 ± 0.010.16 ± 0.010.08 ± 0.000.08 ± 0.000.00 ± 0.00Parkinsons0.34 ± 0.030.54 ± 0.110.42 ± 0.050.16 ± 0.110.34 ± 0.090.29 ± 0.130.27 ± 0.120.28 ± 0.110.26 ± 0.140.36 ± 0.11Pasture0.41 ± 0.040.34 ± 0.240.30 ± 0.230.33 ± 0.260.69 ± 0.020.69 ± 0.020.69 ± 0.020.30 ± 0.240.31 ± 0.250.43 ± 0.25Pbc0.43 ± 0.020.43 ± 0.070.41 ± 0.070.63 ± 0.070.62 ± 0.010.62 ± 0.010.62 ± 0.010.50 ± 0.050.48 ± 0.030.52 ± 0.09Pen0.22 ± 0.000.16 ± 0.010.08 ± 0.010.04 ± 0.000.42 ± 0.000.41 ± 0.000.41 ± 0.000.10 ± 0.010.10 ± 0.000.35 ± 0.00Pendigits0.22 ± 0.000.15 ± 0.010.09 ± 0.010.03 ± 0.010.03 ± 0.010.02 ± 0.010.02 ± 0.010.09 ± 0.010.09 ± 0.010.35 ± 0.01Pharynx0.43 ± 0.020.46 ± 0.030.42 ± 0.010.59 ± 0.090.49 ± 0.080.51 ± 0.100.54 ± 0.090.49 ± 0.040.51 ± 0.130.85 ± 0.03Phishingwebsites0.44 ± 0.000.23 ± 0.010.19 ± 0.010.14 ± 0.010.23 ± 0.010.22 ± 0.010.22 ± 0.010.16 ± 0.010.16 ± 0.010.33 ± 0.01Pima0.43 ± 0.020.42 ± 0.040.44 ± 0.050.54 ± 0.040.49 ± 0.040.50 ± 0.040.50 ± 0.030.42 ± 0.030.42 ± 0.040.53 ± 0.05Pittsburg-bridges-rel-l0.40 ± 0.030.40 ± 0.080.44 ± 0.080.40 ± 0.170.46 ± 0.100.45 ± 0.100.42 ± 0.100.45 ± 0.090.43 ± 0.090.43 ± 0.09Pittsburg-bridges-span0.41 ± 0.020.38 ± 0.070.43 ± 0.070.51 ± 0.110.47 ± 0.100.48 ± 0.120.48 ± 0.120.41 ± 0.050.41 ± 0.070.54 ± 0.08Pittsburg-bridges-t-or-d0.33 ± 0.060.30 ± 0.100.37 ± 0.130.37 ± 0.170.34 ± 0.140.30 ± 0.170.28 ± 0.160.29 ± 0.210.31 ± 0.220.34 ± 0.19Pittsburg-bridges-type0.33 ± 0.020.32 ± 0.040.33 ± 0.040.36 ± 0.060.39 ± 0.050.35 ± 0.080.35 ± 0.070.32 ± 0.070.34 ± 0.070.38 ± 0.02Pittsburg-bridgesmaterial0.30 ± 0.030.30 ± 0.070.25 ± 0.080.30 ± 0.130.30 ± 0.070.31 ± 0.060.30 ± 0.130.30 ± 0.080.32 ± 0.080.29 ± 0.05Planning0.45 ± 0.010.49 ± 0.040.45 ± 0.010.58 ± 0.080.53 ± 0.010.54 ± 0.050.58 ± 0.060.56 ± 0.060.60 ± 0.080.61 ± 0.07Plant-margin0.09 ± 0.000.05 ± 0.000.10 ± 0.000.07 ± 0.000.06 ± 0.000.06 ± 0.010.05 ± 0.010.05 ± 0.000.05 ± 0.000.14 ± 0.00Plant-shape0.09 ± 0.000.09 ± 0.000.10 ± 0.000.08 ± 0.000.10 ± 0.000.09 ± 0.000.09 ± 0.000.07 ± 0.000.07 ± 0.000.14 ± 0.00Plant-texture0.10 ± 0.000.07 ± 0.000.09 ± 0.000.06 ± 0.000.06 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.14 ± 0.00Poker-hand-training-true0.24 ± 0.000.24 ± 0.000.27 ± 0.010.32 ± 0.000.29 ± 0.000.29 ± 0.000.30 ± 0.000.24 ± 0.000.24 ± 0.000.32 ± 0.00Post-operative0.38 ± 0.030.41 ± 0.040.38 ± 0.030.51 ± 0.060.44 ± 0.040.45 ± 0.050.47 ± 0.070.45 ± 0.080.48 ± 0.080.45 ± 0.05Primary-tumor0.23 ± 0.000.22 ± 0.020.24 ± 0.010.28 ± 0.020.27 ± 0.030.27 ± 0.030.27 ± 0.030.25 ± 0.020.25 ± 0.020.31 ± 0.01Qsarbioconcentration0.43 ± 0.000.44 ± 0.010.45 ± 0.040.62 ± 0.050.50 ± 0.010.52 ± 0.010.54 ± 0.030.47 ± 0.030.48 ± 0.020.52 ± 0.03Qsarbiodegradation0.42 ± 0.010.47 ± 0.030.38 ± 0.030.40 ± 0.030.37 ± 0.030.37 ± 0.030.38 ± 0.030.33 ± 0.020.33 ± 0.030.48 ± 0.04Qualitative-bankruptcy0.16 ± 0.020.03 ± 0.050.09 ± 0.110.01 ± 0.010.05 ± 0.100.05 ± 0.100.02 ± 0.060.02 ± 0.060.02 ± 0.060.07 ± 0.11Ringnorm0.37 ± 0.010.10 ± 0.010.28 ± 0.000.50 ± 0.020.12 ± 0.020.12 ± 0.020.13 ± 0.020.27 ± 0.020.27 ± 0.010.60 ± 0.01Risk-factors-cervical-cancer0.23 ± 0.010.31 ± 0.030.19 ± 0.040.23 ± 0.040.25 ± 0.010.26 ± 0.020.24 ± 0.030.20 ± 0.040.21 ± 0.040.19 ± 0.05Robotnavigation0.22 ± 0.010.44 ± 0.010.04 ± 0.010.24 ± 0.010.22 ± 0.010.21 ± 0.010.20 ± 0.010.23 ± 0.020.22 ± 0.020.35 ± 0.01Sapfile0.45 ± 0.010.46 ± 0.050.54 ± 0.070.60 ± 0.040.58 ± 0.050.58 ± 0.040.58 ± 0.050.54 ± 0.050.54 ± 0.070.62 ± 0.06Sat0.22 ± 0.000.26 ± 0.010.21 ± 0.010.18 ± 0.010.50 ± 0.000.49 ± 0.000.49 ± 0.000.17 ± 0.010.18 ± 0.010.37 ± 0.01Satelite0.22 ± 0.000.26 ± 0.010.21 ± 0.010.18 ± 0.010.50 ± 0.000.49 ± 0.000.49 ± 0.000.17 ± 0.000.18 ± 0.010.37 ± 0.01Scadi0.28 ± 0.010.20 ± 0.080.20 ± 0.080.21 ± 0.090.26 ± 0.050.23 ± 0.100.20 ± 0.120.22 ± 0.060.22 ± 0.070.34 ± 0.04Schillingdata0.29 ± 0.000.21 ± 0.010.34 ± 0.000.31 ± 0.010.36 ± 0.000.33 ± 0.020.29 ± 0.010.24 ± 0.030.29 ± 0.040.37 ± 0.01Seeds0.28 ± 0.030.21 ± 0.090.21 ± 0.100.19 ± 0.030.18 ± 0.100.18 ± 0.100.18 ± 0.100.14 ± 0.050.14 ± 0.050.33 ± 0.09Segment0.21 ± 0.000.23 ± 0.010.09 ± 0.020.09 ± 0.010.31 ± 0.010.31 ± 0.010.31 ± 0.010.10 ± 0.010.09 ± 0.010.32 ± 0.01Seismic-bumps0.25 ± 0.000.34 ± 0.020.25 ± 0.000.32 ± 0.020.26 ± 0.000.26 ± 0.000.26 ± 0.000.25 ± 0.010.26 ± 0.010.27 ± 0.01Semeion0.29 ± 0.000.16 ± 0.020.21 ± 0.010.13 ± 0.010.09 ± 0.010.09 ± 0.010.09 ± 0.010.11 ± 0.010.11 ± 0.010.40 ± 0.00Setapprocesst10.44 ± 0.030.61 ± 0.190.56 ± 0.140.57 ± 0.090.60 ± 0.070.55 ± 0.100.57 ± 0.090.54 ± 0.210.54 ± 0.210.45 ± 0.28Setapprocesst100.47 ± 0.030.73 ± 0.100.62 ± 0.110.60 ± 0.150.58 ± 0.050.58 ± 0.050.58 ± 0.050.63 ± 0.200.63 ± 0.170.61 ± 0.07Setapprocesst110.47 ± 0.030.63 ± 0.190.55 ± 0.160.63 ± 0.120.58 ± 0.050.58 ± 0.050.58 ± 0.050.57 ± 0.120.54 ± 0.130.65 ± 0.08Setapprocesst20.47 ± 0.030.54 ± 0.140.43 ± 0.240.56 ± 0.230.58 ± 0.050.58 ± 0.050.58 ± 0.050.56 ± 0.150.54 ± 0.160.37 ± 0.23Setapprocesst30.47 ± 0.020.58 ± 0.110.60 ± 0.140.56 ± 0.120.58 ± 0.050.58 ± 0.050.58 ± 0.050.55 ± 0.110.56 ± 0.080.68 ± 0.12Setapprocesst40.46 ± 0.030.66 ± 0.210.64 ± 0.110.60 ± 0.160.53 ± 0.070.53 ± 0.070.53 ± 0.070.61 ± 0.170.62 ± 0.130.51 ± 0.11Setapprocesst50.46 ± 0.030.71 ± 0.120.64 ± 0.160.61 ± 0.140.59 ± 0.060.60 ± 0.070.60 ± 0.070.58 ± 0.110.57 ± 0.100.53 ± 0.25Setapprocesst60.46 ± 0.010.54 ± 0.150.55 ± 0.110.58 ± 0.120.58 ± 0.050.58 ± 0.050.58 ± 0.050.55 ± 0.180.56 ± 0.160.61 ± 0.16Setapprocesst70.47 ± 0.030.47 ± 0.170.56 ± 0.230.58 ± 0.130.58 ± 0.050.58 ± 0.050.58 ± 0.050.46 ± 0.200.47 ± 0.200.68 ± 0.11Setapprocesst80.46 ± 0.030.54 ± 0.130.49 ± 0.150.57 ± 0.200.58 ± 0.050.58 ± 0.050.58 ± 0.050.52 ± 0.200.51 ± 0.210.71 ± 0.08Setapprocesst90.47 ± 0.020.56 ± 0.140.52 ± 0.150.63 ± 0.070.58 ± 0.050.58 ± 0.050.58 ± 0.050.46 ± 0.210.52 ± 0.210.69 ± 0.12Shillbiddingdataset0.21 ± 0.000.17 ± 0.010.06 ± 0.010.09 ± 0.020.07 ± 0.010.06 ± 0.020.06 ± 0.020.05 ± 0.010.05 ± 0.020.16 ± 0.02Shuttle-landing-control0.19 ± 0.220.27 ± 0.320.14 ± 0.200.16 ± 0.230.07 ± 0.220.07 ± 0.220.07 ± 0.220.19 ± 0.310.19 ± 0.320.17 ± 0.37Somervillehappinesssurvey20150.49 ± 0.030.52 ± 0.060.48 ± 0.100.56 ± 0.110.63 ± 0.080.64 ± 0.080.64 ± 0.090.59 ± 0.090.59 ± 0.100.57 ± 0.13Sonar0.46 ± 0.010.53 ± 0.070.52 ± 0.060.35 ± 0.100.58 ± 0.050.54 ± 0.080.51 ± 0.090.37 ± 0.150.37 ± 0.150.61 ± 0.09Soybean0.20 ± 0.000.08 ± 0.040.11 ± 0.020.11 ± 0.020.10 ± 0.030.09 ± 0.030.09 ± 0.030.09 ± 0.030.09 ± 0.020.28 ± 0.00Spambase0.42 ± 0.000.45 ± 0.020.26 ± 0.020.30 ± 0.020.26 ± 0.020.25 ± 0.020.26 ± 0.020.26 ± 0.020.29 ± 0.070.46 ± 0.02Speaker-accent0.31 ± 0.010.32 ± 0.040.30 ± 0.050.25 ± 0.060.37 ± 0.020.35 ± 0.020.35 ± 0.020.23 ± 0.030.25 ± 0.040.41 ± 0.02Spect0.45 ± 0.040.48 ± 0.180.48 ± 0.100.63 ± 0.110.59 ± 0.100.59 ± 0.110.60 ± 0.080.60 ± 0.140.60 ± 0.150.52 ± 0.10Spectf0.47 ± 0.020.46 ± 0.140.49 ± 0.120.54 ± 0.150.57 ± 0.060.57 ± 0.060.45 ± 0.190.48 ± 0.190.48 ± 0.140.53 ± 0.08Statlog-australian-credit0.46 ± 0.000.50 ± 0.030.51 ± 0.060.66 ± 0.020.57 ± 0.020.60 ± 0.050.60 ± 0.050.53 ± 0.030.54 ± 0.030.59 ± 0.05Statlog-german-credit0.45 ± 0.000.42 ± 0.040.47 ± 0.050.57 ± 0.030.49 ± 0.040.47 ± 0.040.47 ± 0.050.51 ± 0.030.50 ± 0.030.54 ± 0.02Statlog-heart0.41 ± 0.020.36 ± 0.070.45 ± 0.090.48 ± 0.110.41 ± 0.060.44 ± 0.100.44 ± 0.110.43 ± 0.060.41 ± 0.090.53 ± 0.06Statlog-image0.20 ± 0.000.23 ± 0.010.09 ± 0.020.09 ± 0.010.13 ± 0.010.12 ± 0.010.11 ± 0.010.09 ± 0.010.09 ± 0.020.32 ± 0.01Statlog-landsat0.22 ± 0.000.26 ± 0.010.21 ± 0.010.18 ± 0.020.19 ± 0.010.18 ± 0.010.18 ± 0.020.18 ± 0.010.18 ± 0.020.36 ± 0.01Statlog-shuttle0.17 ± 0.000.13 ± 0.010.01 ± 0.010.01 ± 0.010.03 ± 0.000.02 ± 0.000.02 ± 0.000.03 ± 0.000.03 ± 0.000.12 ± 0.00Statlog-vehicle0.36 ± 0.010.46 ± 0.010.33 ± 0.030.39 ± 0.030.34 ± 0.030.31 ± 0.020.31 ± 0.020.26 ± 0.020.27 ± 0.030.49 ± 0.03Steel-plates0.27 ± 0.000.32 ± 0.010.25 ± 0.020.28 ± 0.010.26 ± 0.020.26 ± 0.010.26 ± 0.020.25 ± 0.010.26 ± 0.020.38 ± 0.01Synthetic-control0.27 ± 0.010.13 ± 0.040.16 ± 0.030.10 ± 0.040.03 ± 0.040.02 ± 0.040.02 ± 0.040.04 ± 0.020.04 ± 0.020.38 ± 0.02Teaching0.45 ± 0.020.45 ± 0.030.46 ± 0.060.48 ± 0.080.53 ± 0.090.50 ± 0.080.50 ± 0.080.45 ± 0.040.46 ± 0.030.60 ± 0.06Thoraricsurgery0.35 ± 0.000.39 ± 0.070.37 ± 0.020.47 ± 0.060.39 ± 0.000.39 ± 0.010.39 ± 0.010.42 ± 0.050.41 ± 0.060.41 ± 0.02Thyroid0.27 ± 0.050.10 ± 0.090.19 ± 0.110.11 ± 0.090.40 ± 0.040.39 ± 0.040.39 ± 0.040.12 ± 0.080.12 ± 0.080.21 ± 0.14Thyroid-train0.20 ± 0.000.15 ± 0.020.03 ± 0.030.23 ± 0.020.18 ± 0.010.17 ± 0.010.16 ± 0.010.13 ± 0.030.15 ± 0.020.15 ± 0.02Tic-tac-toe0.46 ± 0.000.43 ± 0.010.23 ± 0.040.00 ± 0.000.09 ± 0.070.06 ± 0.070.02 ± 0.050.14 ± 0.030.13 ± 0.050.55 ± 0.02Titanic0.41 ± 0.010.42 ± 0.020.40 ± 0.020.39 ± 0.010.46 ± 0.020.46 ± 0.020.46 ± 0.020.40 ± 0.020.41 ± 0.020.47 ± 0.02Trains0.46 ± 0.080.40 ± 0.520.28 ± 0.460.42 ± 0.420.40 ± 0.520.30 ± 0.480.30 ± 0.480.28 ± 0.370.27 ± 0.371.00 ± 0.00Transfusion0.42 ± 0.010.43 ± 0.020.40 ± 0.020.53 ± 0.040.50 ± 0.030.52 ± 0.030.53 ± 0.030.39 ± 0.010.39 ± 0.010.49 ± 0.02Trial0.34 ± 0.010.30 ± 0.060.00 ± 0.000.02 ± 0.050.07 ± 0.060.06 ± 0.060.06 ± 0.060.06 ± 0.060.05 ± 0.060.00 ± 0.00Turkiye-student-evaluation0.40 ± 0.000.28 ± 0.020.01 ± 0.010.25 ± 0.020.17 ± 0.010.16 ± 0.010.16 ± 0.010.00 ± 0.000.00 ± 0.000.01 ± 0.01Unbalanced0.12 ± 0.020.27 ± 0.060.12 ± 0.020.14 ± 0.060.12 ± 0.020.13 ± 0.020.13 ± 0.030.13 ± 0.020.13 ± 0.020.12 ± 0.02Urbanlandcover0.26 ± 0.010.21 ± 0.050.21 ± 0.040.22 ± 0.060.43 ± 0.010.43 ± 0.010.43 ± 0.010.19 ± 0.060.19 ± 0.060.33 ± 0.05Userknowledgemodeling0.36 ± 0.020.23 ± 0.050.15 ± 0.060.30 ± 0.090.33 ± 0.050.27 ± 0.040.27 ± 0.040.17 ± 0.050.15 ± 0.070.26 ± 0.08Vehicle0.35 ± 0.010.46 ± 0.020.33 ± 0.030.39 ± 0.030.59 ± 0.010.59 ± 0.010.59 ± 0.010.26 ± 0.020.27 ± 0.030.49 ± 0.03Vertebral-column-2classes0.40 ± 0.040.42 ± 0.090.37 ± 0.070.42 ± 0.060.37 ± 0.080.38 ± 0.090.38 ± 0.080.32 ± 0.060.32 ± 0.060.51 ± 0.08Vertebral-column-3classes0.36 ± 0.020.28 ± 0.040.31 ± 0.040.37 ± 0.040.32 ± 0.060.31 ± 0.070.32 ± 0.060.26 ± 0.040.26 ± 0.040.40 ± 0.06Veteran0.43 ± 0.010.46 ± 0.070.45 ± 0.060.62 ± 0.070.54 ± 0.010.54 ± 0.010.54 ± 0.010.54 ± 0.120.51 ± 0.120.51 ± 0.08Vowel0.24 ± 0.000.21 ± 0.010.17 ± 0.020.03 ± 0.030.16 ± 0.010.13 ± 0.010.11 ± 0.020.11 ± 0.020.10 ± 0.020.35 ± 0.01Wall-following0.23 ± 0.010.44 ± 0.010.04 ± 0.020.24 ± 0.010.23 ± 0.020.22 ± 0.020.21 ± 0.020.23 ± 0.010.23 ± 0.020.35 ± 0.01Waveform-noise0.41 ± 0.000.34 ± 0.010.39 ± 0.010.42 ± 0.010.30 ± 0.020.31 ± 0.010.32 ± 0.020.31 ± 0.020.32 ± 0.020.56 ± 0.02Waveform0.39 ± 0.000.33 ± 0.010.38 ± 0.010.39 ± 0.020.30 ± 0.020.31 ± 0.010.31 ± 0.020.30 ± 0.010.32 ± 0.010.56 ± 0.01Wbc0.18 ± 0.030.14 ± 0.060.23 ± 0.020.18 ± 0.060.13 ± 0.080.13 ± 0.080.12 ± 0.090.19 ± 0.040.18 ± 0.050.30 ± 0.05Wdbc0.28 ± 0.020.24 ± 0.110.24 ± 0.100.20 ± 0.050.61 ± 0.010.61 ± 0.010.61 ± 0.010.16 ± 0.050.17 ± 0.070.32 ± 0.05Weathernominal0.49 ± 0.160.44 ± 0.170.42 ± 0.370.52 ± 0.250.38 ± 0.410.48 ± 0.430.31 ± 0.410.31 ± 0.400.31 ± 0.410.61 ± 0.44Weathernumeric0.57 ± 0.150.49 ± 0.200.27 ± 0.360.27 ± 0.340.38 ± 0.410.54 ± 0.480.54 ± 0.480.31 ± 0.410.31 ± 0.410.61 ± 0.44Website-phishingdata0.35 ± 0.000.28 ± 0.020.22 ± 0.020.25 ± 0.020.31 ± 0.010.30 ± 0.010.29 ± 0.020.25 ± 0.020.25 ± 0.030.35 ± 0.02Wholesalecustomersdata0.29 ± 0.020.30 ± 0.050.29 ± 0.040.34 ± 0.070.57 ± 0.010.57 ± 0.010.57 ± 0.010.25 ± 0.050.26 ± 0.050.30 ± 0.06Wifi-localization0.26 ± 0.010.09 ± 0.020.11 ± 0.010.09 ± 0.020.32 ± 0.020.31 ± 0.020.31 ± 0.020.09 ± 0.010.09 ± 0.010.32 ± 0.03Wilt0.22 ± 0.000.27 ± 0.010.13 ± 0.020.23 ± 0.010.23 ± 0.000.23 ± 0.000.23 ± 0.000.12 ± 0.030.12 ± 0.020.24 ± 0.00Wine-quality-red0.29 ± 0.010.32 ± 0.010.33 ± 0.010.34 ± 0.010.35 ± 0.010.35 ± 0.010.35 ± 0.010.30 ± 0.010.30 ± 0.010.39 ± 0.01Wine-quality-white0.29 ± 0.000.32 ± 0.000.32 ± 0.010.31 ± 0.010.35 ± 0.010.35 ± 0.010.35 ± 0.010.29 ± 0.000.29 ± 0.000.39 ± 0.01Wine0.27 ± 0.020.09 ± 0.100.17 ± 0.110.15 ± 0.100.04 ± 0.080.06 ± 0.090.06 ± 0.090.09 ± 0.080.09 ± 0.080.38 ± 0.08Yamilnaduelectricty0.21 ± 0.000.22 ± 0.000.25 ± 0.000.28 ± 0.000.31 ± 0.000.31 ± 0.000.31 ± 0.000.22 ± 0.000.22 ± 0.000.30 ± 0.00Yeast0.26 ± 0.000.24 ± 0.010.27 ± 0.010.31 ± 0.010.28 ± 0.010.28 ± 0.010.28 ± 0.020.24 ± 0.010.24 ± 0.010.35 ± 0.01Youtobe-kabita-preprocessing0.33 ± 0.000.37 ± 0.000.35 ± 0.010.40 ± 0.000.42 ± 0.010.43 ± 0.010.43 ± 0.010.33 ± 0.000.33 ± 0.000.44 ± 0.01Youtobe-nisha-preprocessing0.33 ± 0.000.36 ± 0.000.35 ± 0.010.39 ± 0.010.41 ± 0.010.42 ± 0.010.42 ± 0.010.33 ± 0.000.33 ± 0.000.44 ± 0.00Z-alizadehsani0.43 ± 0.010.39 ± 0.070.43 ± 0.090.46 ± 0.070.54 ± 0.010.54 ± 0.010.54 ± 0.010.37 ± 0.090.39 ± 0.070.54 ± 0.05Zoo0.23 ± 0.020.06 ± 0.090.10 ± 0.100.06 ± 0.070.08 ± 0.110.08 ± 0.110.08 ± 0.110.07 ± 0.070.07 ± 0.070.27 ± 0.06Average rmse (rank)0.3321 (5)0.3377 (6)0.2832 (2)0.3247 (4)0.3630 (9)0.3562 (8)0.3518 (7)0.2817 (1)0.2841 (3)0.3928 (10)Average rmse std (rank)0.0152 (1)0.0496 (4)0.0531 (7)0.0570 (9)0.0442 (2)0.0478 (3)0.0497 (5)0.0554 (8)0.0573 (10)0.0513 (6)Table 9
The detailed experimental results on mean absolute error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone0.34 ± 0.010.29 ± 0.010.29 ± 0.010.28 ± 0.020.22 ± 0.020.22 ± 0.020.22 ± 0.010.29 ± 0.010.29 ± 0.010.26 ± 0.01Absenteeism-at-work0.31 ± 0.010.16 ± 0.030.00 ± 0.010.16 ± 0.030.15 ± 0.030.15 ± 0.030.15 ± 0.030.04 ± 0.010.04 ± 0.020.05 ± 0.02Acute-inflammation0.23 ± 0.020.10 ± 0.030.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.21 ± 0.08Acute-nephritis0.21 ± 0.010.05 ± 0.050.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.08 ± 0.08Adult0.34 ± 0.000.20 ± 0.020.22 ± 0.030.22 ± 0.040.17 ± 0.040.17 ± 0.040.17 ± 0.040.21 ± 0.030.21 ± 0.030.20 ± 0.01Aggregation0.04 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.000.01 ± 0.010.12 ± 0.01Algerianforest0.30 ± 0.020.06 ± 0.050.05 ± 0.040.12 ± 0.070.41 ± 0.020.38 ± 0.040.38 ± 0.040.04 ± 0.030.04 ± 0.040.03 ± 0.05Annealing0.15 ± 0.000.12 ± 0.010.02 ± 0.010.04 ± 0.010.04 ± 0.010.03 ± 0.010.03 ± 0.010.04 ± 0.010.04 ± 0.010.07 ± 0.00Arrhythmia0.10 ± 0.000.06 ± 0.010.06 ± 0.010.07 ± 0.000.06 ± 0.000.05 ± 0.010.05 ± 0.010.05 ± 0.010.07 ± 0.020.06 ± 0.00Au1-10000.38 ± 0.000.36 ± 0.010.30 ± 0.030.32 ± 0.040.26 ± 0.000.26 ± 0.000.26 ± 0.010.31 ± 0.040.29 ± 0.040.26 ± 0.00Au4-25000.36 ± 0.000.32 ± 0.010.20 ± 0.030.24 ± 0.030.26 ± 0.020.26 ± 0.020.26 ± 0.020.24 ± 0.030.24 ± 0.030.31 ± 0.03Au6-10000.21 ± 0.000.21 ± 0.000.20 ± 0.010.22 ± 0.010.19 ± 0.000.19 ± 0.000.19 ± 0.000.21 ± 0.010.22 ± 0.010.19 ± 0.01Au6-250-drift-au6-cd1-5000.21 ± 0.000.21 ± 0.000.20 ± 0.010.21 ± 0.010.19 ± 0.000.19 ± 0.000.19 ± 0.000.21 ± 0.000.21 ± 0.010.19 ± 0.01Au6-cd1-4000.21 ± 0.000.20 ± 0.010.16 ± 0.020.21 ± 0.020.18 ± 0.000.18 ± 0.000.18 ± 0.000.20 ± 0.010.20 ± 0.010.17 ± 0.02Au7-300-drift-au7-cpd1-8000.31 ± 0.000.29 ± 0.000.26 ± 0.010.27 ± 0.020.29 ± 0.010.29 ± 0.010.29 ± 0.010.28 ± 0.010.28 ± 0.010.30 ± 0.01Au7-7000.26 ± 0.000.24 ± 0.010.20 ± 0.010.26 ± 0.020.25 ± 0.010.25 ± 0.010.25 ± 0.010.24 ± 0.010.24 ± 0.010.22 ± 0.02Au7-cpd1-5000.30 ± 0.000.28 ± 0.010.21 ± 0.020.25 ± 0.020.25 ± 0.000.25 ± 0.010.25 ± 0.010.25 ± 0.020.25 ± 0.020.24 ± 0.02Audiology-std0.09 ± 0.000.03 ± 0.010.03 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.03 ± 0.010.02 ± 0.010.03 ± 0.010.06 ± 0.00Audit-risk0.28 ± 0.010.05 ± 0.020.00 ± 0.000.02 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.010.04 ± 0.020.04 ± 0.020.00 ± 0.00Autism-adolescent-data0.37 ± 0.030.04 ± 0.030.00 ± 0.000.10 ± 0.060.04 ± 0.050.05 ± 0.050.04 ± 0.050.10 ± 0.090.10 ± 0.090.00 ± 0.00Autism-adult-data0.29 ± 0.010.03 ± 0.020.00 ± 0.000.05 ± 0.040.01 ± 0.010.00 ± 0.010.01 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.00Autism-child-data0.40 ± 0.010.04 ± 0.020.00 ± 0.000.12 ± 0.040.00 ± 0.010.00 ± 0.000.00 ± 0.000.01 ± 0.010.01 ± 0.010.00 ± 0.00Autos0.17 ± 0.010.13 ± 0.030.06 ± 0.020.07 ± 0.030.19 ± 0.010.18 ± 0.010.18 ± 0.010.07 ± 0.020.07 ± 0.010.11 ± 0.03Avila0.07 ± 0.000.13 ± 0.000.01 ± 0.000.04 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.08 ± 0.000.08 ± 0.000.05 ± 0.00Balance-scale0.28 ± 0.010.21 ± 0.010.19 ± 0.020.13 ± 0.030.06 ± 0.010.05 ± 0.010.04 ± 0.010.08 ± 0.010.08 ± 0.010.29 ± 0.03Balloons0.41 ± 0.120.50 ± 0.030.46 ± 0.190.34 ± 0.120.30 ± 0.350.20 ± 0.350.20 ± 0.350.28 ± 0.230.27 ± 0.240.55 ± 0.37Bank0.20 ± 0.000.18 ± 0.010.14 ± 0.010.14 ± 0.010.10 ± 0.010.10 ± 0.010.10 ± 0.010.13 ± 0.010.13 ± 0.020.11 ± 0.01Blood0.35 ± 0.010.29 ± 0.020.30 ± 0.010.32 ± 0.040.22 ± 0.020.21 ± 0.020.22 ± 0.010.30 ± 0.020.30 ± 0.020.24 ± 0.02Breast-cancer-wisc-diag0.25 ± 0.020.07 ± 0.040.07 ± 0.040.04 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.010.04 ± 0.020.04 ± 0.020.11 ± 0.04Breast-cancer-wisc-prog0.36 ± 0.010.34 ± 0.090.29 ± 0.060.27 ± 0.090.21 ± 0.060.22 ± 0.090.22 ± 0.100.27 ± 0.090.27 ± 0.110.30 ± 0.08Breast-cancer-wisc0.14 ± 0.020.04 ± 0.020.07 ± 0.030.05 ± 0.030.03 ± 0.020.03 ± 0.020.03 ± 0.020.06 ± 0.030.05 ± 0.020.07 ± 0.05Breast-cancer0.39 ± 0.010.32 ± 0.040.37 ± 0.030.30 ± 0.080.26 ± 0.050.27 ± 0.050.28 ± 0.050.32 ± 0.060.33 ± 0.040.30 ± 0.05Breast-tissue0.19 ± 0.020.11 ± 0.040.11 ± 0.050.11 ± 0.040.14 ± 0.050.11 ± 0.060.10 ± 0.060.14 ± 0.020.14 ± 0.030.15 ± 0.03Bupa0.45 ± 0.010.46 ± 0.030.40 ± 0.080.38 ± 0.050.41 ± 0.020.41 ± 0.020.41 ± 0.020.37 ± 0.040.36 ± 0.040.46 ± 0.08Caesarian0.43 ± 0.050.41 ± 0.100.46 ± 0.060.47 ± 0.140.45 ± 0.060.38 ± 0.120.41 ± 0.170.44 ± 0.180.44 ± 0.170.51 ± 0.18Car0.22 ± 0.000.12 ± 0.010.01 ± 0.000.02 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.000.04 ± 0.010.04 ± 0.010.15 ± 0.00Cardiotocography-10classes0.14 ± 0.000.06 ± 0.000.04 ± 0.000.04 ± 0.010.04 ± 0.000.04 ± 0.010.03 ± 0.000.04 ± 0.010.04 ± 0.000.10 ± 0.00Cardiotocography-3classes0.22 ± 0.000.12 ± 0.020.06 ± 0.020.05 ± 0.010.06 ± 0.010.05 ± 0.010.05 ± 0.010.06 ± 0.010.06 ± 0.010.12 ± 0.02Cervical-cancer0.34 ± 0.030.10 ± 0.070.16 ± 0.120.12 ± 0.110.29 ± 0.030.26 ± 0.070.26 ± 0.070.08 ± 0.080.07 ± 0.080.22 ± 0.09Chemicalcomposionofceramic0.24 ± 0.020.00 ± 0.000.01 ± 0.040.01 ± 0.000.54 ± 0.020.54 ± 0.020.54 ± 0.020.01 ± 0.000.00 ± 0.000.00 ± 0.00Chess-krvk0.10 ± 0.000.09 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.07 ± 0.000.07 ± 0.000.08 ± 0.00Chess-krvkp0.47 ± 0.000.21 ± 0.020.01 ± 0.000.10 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.34 ± 0.01Congressional-voting0.47 ± 0.000.45 ± 0.040.46 ± 0.030.45 ± 0.050.38 ± 0.040.39 ± 0.050.39 ± 0.060.43 ± 0.030.43 ± 0.030.37 ± 0.03Conn-bench-sonar-mines-rocks0.45 ± 0.010.31 ± 0.090.29 ± 0.070.14 ± 0.070.16 ± 0.070.13 ± 0.080.12 ± 0.080.20 ± 0.090.18 ± 0.090.37 ± 0.10Conn-bench-vowel-deterding0.11 ± 0.000.08 ± 0.010.04 ± 0.010.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.04 ± 0.010.04 ± 0.010.12 ± 0.01Connect-40.38 ± 0.000.38 ± 0.010.24 ± 0.020.29 ± 0.030.26 ± 0.000.24 ± 0.010.23 ± 0.020.27 ± 0.020.26 ± 0.020.26 ± 0.00Connectionist0.45 ± 0.010.32 ± 0.110.27 ± 0.070.13 ± 0.060.39 ± 0.090.30 ± 0.120.27 ± 0.120.17 ± 0.080.17 ± 0.080.37 ± 0.07Contrac0.42 ± 0.000.37 ± 0.020.34 ± 0.020.38 ± 0.020.30 ± 0.010.30 ± 0.020.31 ± 0.030.35 ± 0.010.34 ± 0.010.35 ± 0.01Covid-190.32 ± 0.080.29 ± 0.170.24 ± 0.240.33 ± 0.230.27 ± 0.260.30 ± 0.290.23 ± 0.270.23 ± 0.230.22 ± 0.230.13 ± 0.23Credit-approval0.41 ± 0.010.23 ± 0.030.19 ± 0.030.18 ± 0.060.15 ± 0.050.15 ± 0.050.15 ± 0.050.16 ± 0.030.17 ± 0.040.14 ± 0.04Crowdsource0.12 ± 0.000.06 ± 0.010.04 ± 0.000.02 ± 0.000.08 ± 0.000.08 ± 0.000.08 ± 0.000.03 ± 0.010.03 ± 0.010.07 ± 0.01Crx0.41 ± 0.010.22 ± 0.030.19 ± 0.030.19 ± 0.050.44 ± 0.040.43 ± 0.040.42 ± 0.050.18 ± 0.040.17 ± 0.020.14 ± 0.04Cryother0.32 ± 0.050.18 ± 0.110.11 ± 0.070.11 ± 0.080.18 ± 0.130.17 ± 0.130.17 ± 0.130.14 ± 0.080.17 ± 0.090.19 ± 0.11Cylinder-bands0.45 ± 0.010.33 ± 0.060.29 ± 0.060.31 ± 0.070.24 ± 0.040.21 ± 0.040.19 ± 0.030.27 ± 0.050.26 ± 0.050.33 ± 0.04Dbworld-bodies0.49 ± 0.010.24 ± 0.150.21 ± 0.160.41 ± 0.100.45 ± 0.060.45 ± 0.060.36 ± 0.13//0.14 ± 0.13Dbworld-bodies-stemmed0.48 ± 0.010.23 ± 0.130.15 ± 0.130.36 ± 0.140.45 ± 0.060.41 ± 0.090.26 ± 0.13//0.26 ± 0.20Dbworld-subjects0.49 ± 0.010.17 ± 0.100.30 ± 0.100.25 ± 0.120.45 ± 0.060.45 ± 0.060.45 ± 0.060.13 ± 0.120.13 ± 0.140.37 ± 0.12Dbworld-subjects-stemmed0.49 ± 0.010.17 ± 0.110.27 ± 0.140.19 ± 0.090.45 ± 0.060.45 ± 0.060.45 ± 0.060.14 ± 0.120.14 ± 0.110.39 ± 0.10Dermatology0.19 ± 0.000.01 ± 0.010.02 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.000.01 ± 0.000.17 ± 0.01Diabetes0.39 ± 0.020.28 ± 0.030.32 ± 0.050.30 ± 0.050.35 ± 0.000.35 ± 0.000.35 ± 0.000.30 ± 0.020.29 ± 0.020.29 ± 0.05Diabetic0.46 ± 0.010.43 ± 0.020.38 ± 0.030.39 ± 0.050.42 ± 0.050.41 ± 0.060.40 ± 0.060.33 ± 0.030.33 ± 0.030.47 ± 0.06Divorce0.10 ± 0.030.02 ± 0.030.06 ± 0.060.03 ± 0.030.02 ± 0.030.02 ± 0.030.02 ± 0.030.02 ± 0.030.02 ± 0.030.05 ± 0.05Dota2train0.50 ± 0.000.47 ± 0.020.47 ± 0.040.45 ± 0.030.47 ± 0.000.46 ± 0.040.47 ± 0.030.50 ± 0.030.48 ± 0.020.45 ± 0.04Dow-jones-index0.45 ± 0.020.50 ± 0.030.29 ± 0.040.45 ± 0.060.48 ± 0.000.48 ± 0.000.48 ± 0.000.46 ± 0.030.45 ± 0.030.44 ± 0.03Dry-bean-dataset0.06 ± 0.000.03 ± 0.000.02 ± 0.000.02 ± 0.000.11 ± 0.010.11 ± 0.010.11 ± 0.010.03 ± 0.000.03 ± 0.000.09 ± 0.01Early-stage-diabetes-data-upload0.37 ± 0.010.15 ± 0.030.05 ± 0.030.02 ± 0.020.06 ± 0.040.05 ± 0.040.05 ± 0.040.04 ± 0.020.04 ± 0.030.18 ± 0.04Echocardiogram0.40 ± 0.030.22 ± 0.110.24 ± 0.100.26 ± 0.130.18 ± 0.080.19 ± 0.110.19 ± 0.110.24 ± 0.120.23 ± 0.120.15 ± 0.07Ecoli0.14 ± 0.000.04 ± 0.010.05 ± 0.020.05 ± 0.020.03 ± 0.010.03 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.08 ± 0.02Eegeyesate0.45 ± 0.000.53 ± 0.020.17 ± 0.010.16 ± 0.020.45 ± 0.000.45 ± 0.000.45 ± 0.000.49 ± 0.010.48 ± 0.010.37 ± 0.01Electrical0.30 ± 0.030.06 ± 0.030.00 ± 0.000.09 ± 0.070.17 ± 0.080.17 ± 0.070.16 ± 0.060.02 ± 0.020.02 ± 0.010.00 ± 0.01Energy-y10.25 ± 0.000.13 ± 0.010.02 ± 0.010.16 ± 0.030.08 ± 0.010.07 ± 0.010.07 ± 0.020.09 ± 0.010.09 ± 0.010.10 ± 0.01Energy-y20.23 ± 0.000.11 ± 0.010.09 ± 0.010.16 ± 0.020.07 ± 0.010.06 ± 0.010.06 ± 0.010.08 ± 0.010.08 ± 0.020.08 ± 0.02Extentionofz-alizadehsani0.38 ± 0.010.08 ± 0.040.01 ± 0.010.10 ± 0.050.29 ± 0.010.29 ± 0.010.29 ± 0.010.02 ± 0.020.02 ± 0.020.14 ± 0.05Fertility0.21 ± 0.030.20 ± 0.030.22 ± 0.040.18 ± 0.110.12 ± 0.040.11 ± 0.060.11 ± 0.070.13 ± 0.080.13 ± 0.100.12 ± 0.04First-order0.17 ± 0.000.68 ± 0.040.00 ± 0.000.01 ± 0.000.10 ± 0.000.05 ± 0.010.02 ± 0.010.00 ± 0.000.00 ± 0.000.09 ± 0.02Flags0.18 ± 0.000.13 ± 0.010.11 ± 0.020.14 ± 0.020.12 ± 0.020.11 ± 0.030.12 ± 0.030.14 ± 0.030.13 ± 0.030.11 ± 0.02Foresttypes0.23 ± 0.010.03 ± 0.020.03 ± 0.030.03 ± 0.020.35 ± 0.010.34 ± 0.020.34 ± 0.020.03 ± 0.020.02 ± 0.020.09 ± 0.04Garments-worker-productivity0.29 ± 0.000.29 ± 0.010.22 ± 0.020.30 ± 0.010.26 ± 0.010.26 ± 0.010.25 ± 0.010.26 ± 0.010.26 ± 0.010.27 ± 0.01Gender-name-dataset0.47 ± 0.000.42 ± 0.040.48 ± 0.000.41 ± 0.010.36 ± 0.010.36 ± 0.020.36 ± 0.020.48 ± 0.010.48 ± 0.010.39 ± 0.01Gesture-a1-raw0.12 ± 0.000.11 ± 0.010.04 ± 0.010.02 ± 0.000.24 ± 0.000.24 ± 0.000.24 ± 0.000.04 ± 0.010.04 ± 0.000.01 ± 0.01Gesture-a1-va30.21 ± 0.010.16 ± 0.010.14 ± 0.020.10 ± 0.010.24 ± 0.000.24 ± 0.000.24 ± 0.000.14 ± 0.010.14 ± 0.010.15 ± 0.01Gesture-a2-raw0.13 ± 0.000.13 ± 0.010.05 ± 0.010.02 ± 0.010.24 ± 0.000.24 ± 0.000.24 ± 0.000.05 ± 0.010.05 ± 0.010.02 ± 0.01Gesture-a2-va30.23 ± 0.010.23 ± 0.030.18 ± 0.010.13 ± 0.020.24 ± 0.000.24 ± 0.000.24 ± 0.000.18 ± 0.010.18 ± 0.020.18 ± 0.02Gesture-a3-raw0.10 ± 0.000.16 ± 0.010.03 ± 0.000.02 ± 0.000.26 ± 0.000.26 ± 0.000.26 ± 0.000.05 ± 0.010.05 ± 0.010.02 ± 0.00Gesture-a3-va30.24 ± 0.000.20 ± 0.010.10 ± 0.010.04 ± 0.010.26 ± 0.000.26 ± 0.000.26 ± 0.000.17 ± 0.010.16 ± 0.010.20 ± 0.01Gesture-b1-raw0.10 ± 0.010.18 ± 0.010.03 ± 0.010.02 ± 0.010.20 ± 0.000.20 ± 0.000.20 ± 0.000.05 ± 0.010.04 ± 0.010.03 ± 0.01Gesture-b1-va30.24 ± 0.010.26 ± 0.030.13 ± 0.020.04 ± 0.010.25 ± 0.000.25 ± 0.000.25 ± 0.000.18 ± 0.010.17 ± 0.020.23 ± 0.02Gesture-b3-raw0.15 ± 0.010.18 ± 0.010.04 ± 0.010.02 ± 0.000.27 ± 0.000.27 ± 0.000.27 ± 0.000.06 ± 0.010.06 ± 0.010.02 ± 0.01Gesture-b3-va30.28 ± 0.000.23 ± 0.010.18 ± 0.010.09 ± 0.010.27 ± 0.000.27 ± 0.000.27 ± 0.000.19 ± 0.010.19 ± 0.010.24 ± 0.02Gesture-c1-raw0.15 ± 0.010.15 ± 0.010.05 ± 0.010.02 ± 0.010.30 ± 0.000.30 ± 0.000.30 ± 0.000.06 ± 0.010.06 ± 0.010.02 ± 0.01Gesture-c1-va30.26 ± 0.010.20 ± 0.010.17 ± 0.010.12 ± 0.010.30 ± 0.000.30 ± 0.000.30 ± 0.000.16 ± 0.010.16 ± 0.010.23 ± 0.02Gesture-c3-raw0.14 ± 0.010.16 ± 0.020.05 ± 0.010.03 ± 0.010.29 ± 0.000.29 ± 0.000.29 ± 0.000.07 ± 0.010.07 ± 0.010.02 ± 0.01Gesture-c3-va30.27 ± 0.010.22 ± 0.010.19 ± 0.020.15 ± 0.020.29 ± 0.000.29 ± 0.000.29 ± 0.000.19 ± 0.010.20 ± 0.020.23 ± 0.01Glass0.18 ± 0.010.18 ± 0.020.12 ± 0.020.10 ± 0.030.09 ± 0.020.09 ± 0.030.10 ± 0.030.13 ± 0.020.12 ± 0.010.14 ± 0.03Go-track-tracks0.34 ± 0.040.19 ± 0.050.14 ± 0.070.10 ± 0.080.28 ± 0.130.28 ± 0.120.28 ± 0.120.19 ± 0.060.18 ± 0.050.24 ± 0.14Haberman-survival0.37 ± 0.010.33 ± 0.030.36 ± 0.030.34 ± 0.070.27 ± 0.050.29 ± 0.030.29 ± 0.030.35 ± 0.030.35 ± 0.030.27 ± 0.03Hayes-roth0.27 ± 0.020.29 ± 0.020.13 ± 0.030.09 ± 0.040.09 ± 0.050.13 ± 0.040.13 ± 0.040.22 ± 0.070.21 ± 0.070.37 ± 0.04Hcc-data0.45 ± 0.010.33 ± 0.060.43 ± 0.060.37 ± 0.080.38 ± 0.020.38 ± 0.020.38 ± 0.020.36 ± 0.120.36 ± 0.100.31 ± 0.11Hcvdat0.08 ± 0.000.04 ± 0.010.03 ± 0.010.04 ± 0.010.05 ± 0.000.05 ± 0.000.05 ± 0.000.03 ± 0.010.03 ± 0.010.05 ± 0.01Heart-cleveland0.24 ± 0.010.18 ± 0.030.21 ± 0.020.18 ± 0.030.17 ± 0.030.16 ± 0.040.17 ± 0.040.19 ± 0.020.18 ± 0.020.19 ± 0.03Heart-hungarian0.36 ± 0.020.19 ± 0.070.27 ± 0.050.23 ± 0.080.18 ± 0.080.18 ± 0.060.17 ± 0.060.23 ± 0.080.23 ± 0.070.21 ± 0.09Heart-switzerland0.28 ± 0.010.26 ± 0.020.26 ± 0.040.27 ± 0.050.24 ± 0.030.24 ± 0.020.23 ± 0.030.24 ± 0.050.23 ± 0.040.27 ± 0.05Heart-va0.30 ± 0.000.28 ± 0.020.28 ± 0.020.26 ± 0.030.26 ± 0.040.27 ± 0.030.28 ± 0.040.29 ± 0.020.29 ± 0.030.29 ± 0.04Heart-failure-clinical-records-dataset0.41 ± 0.010.25 ± 0.040.24 ± 0.050.35 ± 0.070.32 ± 0.020.32 ± 0.020.32 ± 0.020.27 ± 0.050.24 ± 0.080.14 ± 0.06Hepatitis0.30 ± 0.020.18 ± 0.080.24 ± 0.070.18 ± 0.050.17 ± 0.060.16 ± 0.090.16 ± 0.090.20 ± 0.090.22 ± 0.110.26 ± 0.07Hill-valley0.50 ± 0.010.51 ± 0.020.50 ± 0.000.48 ± 0.030.48 ± 0.070.48 ± 0.070.47 ± 0.070.46 ± 0.020.45 ± 0.020.52 ± 0.05Hiv1625data0.18 ± 0.010.07 ± 0.020.13 ± 0.020.11 ± 0.010.08 ± 0.020.07 ± 0.020.06 ± 0.020.05 ± 0.020.07 ± 0.020.21 ± 0.02Hiv746data0.25 ± 0.020.11 ± 0.030.25 ± 0.030.17 ± 0.030.10 ± 0.040.09 ± 0.030.09 ± 0.030.08 ± 0.020.08 ± 0.030.19 ± 0.04Horse-colic0.41 ± 0.010.27 ± 0.060.16 ± 0.040.24 ± 0.070.16 ± 0.050.15 ± 0.050.15 ± 0.060.23 ± 0.050.22 ± 0.070.18 ± 0.05Htru0.06 ± 0.000.06 ± 0.000.03 ± 0.000.03 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.03 ± 0.000.03 ± 0.000.02 ± 0.00Hypothyroid0.07 ± 0.000.04 ± 0.000.00 ± 0.000.04 ± 0.010.04 ± 0.000.04 ± 0.000.04 ± 0.000.04 ± 0.020.04 ± 0.030.02 ± 0.00Ibeacon-rssi-labeled0.02 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.02 ± 0.00Ilpd-indian-liver0.39 ± 0.010.44 ± 0.050.39 ± 0.030.35 ± 0.060.29 ± 0.010.29 ± 0.020.29 ± 0.030.34 ± 0.030.34 ± 0.030.34 ± 0.03Image-segmentation0.15 ± 0.010.06 ± 0.020.04 ± 0.020.04 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.12 ± 0.03Immunotherapy0.30 ± 0.020.31 ± 0.060.23 ± 0.080.30 ± 0.160.21 ± 0.040.21 ± 0.040.21 ± 0.040.19 ± 0.080.20 ± 0.080.16 ± 0.09Impensdata0.21 ± 0.010.13 ± 0.020.27 ± 0.000.16 ± 0.020.16 ± 0.000.16 ± 0.000.16 ± 0.000.10 ± 0.020.11 ± 0.030.16 ± 0.02In-vehicle-coupon-recommendation0.48 ± 0.000.41 ± 0.010.38 ± 0.010.36 ± 0.010.31 ± 0.010.31 ± 0.010.30 ± 0.010.30 ± 0.010.29 ± 0.010.39 ± 0.01Indian0.38 ± 0.010.44 ± 0.050.33 ± 0.040.36 ± 0.070.28 ± 0.020.28 ± 0.010.28 ± 0.010.35 ± 0.030.34 ± 0.030.34 ± 0.03Ionosphere0.24 ± 0.020.17 ± 0.050.09 ± 0.030.14 ± 0.050.06 ± 0.020.05 ± 0.030.04 ± 0.030.10 ± 0.020.10 ± 0.030.19 ± 0.07Iris0.17 ± 0.020.04 ± 0.030.03 ± 0.030.04 ± 0.040.02 ± 0.020.03 ± 0.030.02 ± 0.020.03 ± 0.030.03 ± 0.020.05 ± 0.04Jain0.08 ± 0.030.07 ± 0.030.01 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.07 ± 0.020.07 ± 0.020.05 ± 0.03Jsbach-chorals-harmony0.17 ± 0.000.05 ± 0.010.05 ± 0.010.03 ± 0.000.04 ± 0.010.03 ± 0.000.03 ± 0.010.03 ± 0.010.03 ± 0.010.04 ± 0.01Knowledge0.27 ± 0.010.13 ± 0.040.04 ± 0.030.13 ± 0.040.08 ± 0.050.06 ± 0.040.04 ± 0.040.05 ± 0.020.05 ± 0.030.09 ± 0.05Lasvegastripadvisorreviews0.24 ± 0.000.24 ± 0.010.24 ± 0.010.24 ± 0.010.25 ± 0.010.25 ± 0.010.25 ± 0.010.24 ± 0.010.24 ± 0.010.24 ± 0.01Leaf0.05 ± 0.000.02 ± 0.000.03 ± 0.000.06 ± 0.000.06 ± 0.000.05 ± 0.000.05 ± 0.000.04 ± 0.000.04 ± 0.000.05 ± 0.00Led-display0.15 ± 0.000.08 ± 0.000.08 ± 0.000.08 ± 0.000.06 ± 0.010.06 ± 0.010.06 ± 0.010.08 ± 0.000.07 ± 0.000.16 ± 0.00Lenses0.28 ± 0.070.37 ± 0.090.15 ± 0.190.13 ± 0.110.14 ± 0.200.11 ± 0.150.11 ± 0.150.19 ± 0.150.20 ± 0.160.22 ± 0.20Letter0.07 ± 0.000.03 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.000.02 ± 0.000.06 ± 0.00Libras0.10 ± 0.000.05 ± 0.010.04 ± 0.010.02 ± 0.010.03 ± 0.010.02 ± 0.010.02 ± 0.010.03 ± 0.010.03 ± 0.010.11 ± 0.01Low-res-spect0.11 ± 0.000.04 ± 0.010.04 ± 0.010.04 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.06 ± 0.01Lung-cancer0.41 ± 0.020.25 ± 0.110.39 ± 0.160.34 ± 0.220.31 ± 0.150.27 ± 0.140.32 ± 0.170.35 ± 0.140.35 ± 0.150.35 ± 0.12Lymphography0.23 ± 0.000.10 ± 0.030.14 ± 0.040.13 ± 0.060.07 ± 0.050.07 ± 0.050.08 ± 0.040.10 ± 0.040.10 ± 0.030.12 ± 0.04Magic0.34 ± 0.010.28 ± 0.020.22 ± 0.020.20 ± 0.020.15 ± 0.020.15 ± 0.020.15 ± 0.010.19 ± 0.020.20 ± 0.020.28 ± 0.04Mammographic0.36 ± 0.010.24 ± 0.030.25 ± 0.020.26 ± 0.050.17 ± 0.020.18 ± 0.030.17 ± 0.030.25 ± 0.020.26 ± 0.030.18 ± 0.01Miniboone0.30 ± 0.000.71 ± 0.010.14 ± 0.020.17 ± 0.020.15 ± 0.020.14 ± 0.020.14 ± 0.020.21 ± 0.030.21 ± 0.030.18 ± 0.02Molec-biol-promoter0.45 ± 0.020.13 ± 0.080.27 ± 0.100.28 ± 0.120.17 ± 0.130.15 ± 0.120.15 ± 0.120.23 ± 0.090.23 ± 0.090.30 ± 0.11Molec-biol-splice0.40 ± 0.000.07 ± 0.010.06 ± 0.010.25 ± 0.010.09 ± 0.010.08 ± 0.010.09 ± 0.010.11 ± 0.010.11 ± 0.010.24 ± 0.02Monks-10.39 ± 0.030.37 ± 0.080.04 ± 0.070.31 ± 0.090.19 ± 0.120.17 ± 0.110.17 ± 0.100.14 ± 0.140.12 ± 0.160.27 ± 0.10Monks-20.47 ± 0.020.48 ± 0.030.27 ± 0.100.39 ± 0.110.42 ± 0.070.39 ± 0.130.36 ± 0.120.29 ± 0.090.27 ± 0.080.41 ± 0.05Monks-30.37 ± 0.030.27 ± 0.040.11 ± 0.080.25 ± 0.150.10 ± 0.080.11 ± 0.080.11 ± 0.080.17 ± 0.100.13 ± 0.060.22 ± 0.04Mushroom0.33 ± 0.000.12 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.00Musk-10.40 ± 0.010.26 ± 0.070.16 ± 0.070.15 ± 0.050.09 ± 0.040.08 ± 0.030.06 ± 0.030.07 ± 0.020.07 ± 0.020.38 ± 0.09Musk-20.20 ± 0.000.15 ± 0.020.05 ± 0.010.04 ± 0.010.04 ± 0.010.03 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.010.10 ± 0.01Newdiagnosis0.23 ± 0.020.10 ± 0.030.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.22 ± 0.07Nursery0.24 ± 0.000.08 ± 0.000.00 ± 0.000.05 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.02 ± 0.010.03 ± 0.010.12 ± 0.00Obesitydataset-raw-and-data-sinthetic0.19 ± 0.000.11 ± 0.000.02 ± 0.010.05 ± 0.010.03 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.000.09 ± 0.01Obs-network-dataset-2-aug270.15 ± 0.010.14 ± 0.030.00 ± 0.010.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.03 ± 0.010.02 ± 0.010.05 ± 0.01Occupancy-data0.09 ± 0.010.05 ± 0.010.02 ± 0.010.01 ± 0.010.19 ± 0.020.18 ± 0.020.18 ± 0.020.04 ± 0.010.03 ± 0.010.01 ± 0.01Occupancy-data20.07 ± 0.000.04 ± 0.000.01 ± 0.000.01 ± 0.000.16 ± 0.010.14 ± 0.010.14 ± 0.010.01 ± 0.000.01 ± 0.000.01 ± 0.00Occupancy-data30.05 ± 0.000.02 ± 0.010.01 ± 0.000.01 ± 0.000.17 ± 0.010.15 ± 0.010.15 ± 0.010.01 ± 0.000.01 ± 0.000.01 ± 0.00Old0.42 ± 0.000.08 ± 0.010.06 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.03 ± 0.010.03 ± 0.010.11 ± 0.02Online-shoppers-intention0.24 ± 0.000.23 ± 0.010.14 ± 0.000.18 ± 0.010.15 ± 0.000.16 ± 0.000.16 ± 0.000.13 ± 0.010.14 ± 0.020.12 ± 0.01Oocytes-merluccius-nucleus-4d0.39 ± 0.010.40 ± 0.040.29 ± 0.040.28 ± 0.040.23 ± 0.030.20 ± 0.030.19 ± 0.030.20 ± 0.030.21 ± 0.030.33 ± 0.05Oocytes-merluccius-states-2f0.17 ± 0.010.10 ± 0.020.07 ± 0.020.06 ± 0.020.06 ± 0.020.05 ± 0.010.05 ± 0.010.06 ± 0.010.06 ± 0.010.12 ± 0.03Oocytes-trisopterus-nucleus-2f0.44 ± 0.010.46 ± 0.050.30 ± 0.050.26 ± 0.060.19 ± 0.040.16 ± 0.030.17 ± 0.030.18 ± 0.030.19 ± 0.030.41 ± 0.06Oocytes-trisopterus-states-5b0.20 ± 0.020.16 ± 0.030.09 ± 0.020.06 ± 0.020.05 ± 0.020.05 ± 0.020.05 ± 0.020.05 ± 0.020.05 ± 0.020.13 ± 0.02Optdigits0.16 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.01 ± 0.000.00 ± 0.000.15 ± 0.00Optical0.16 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.14 ± 0.00Ozone0.06 ± 0.000.29 ± 0.040.05 ± 0.010.05 ± 0.010.03 ± 0.000.03 ± 0.000.03 ± 0.000.04 ± 0.010.03 ± 0.010.03 ± 0.00Page-blocks0.05 ± 0.000.04 ± 0.010.02 ± 0.000.02 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.02 ± 0.00Parkingbirmingham0.01 ± 0.000.02 ± 0.000.00 ± 0.000.00 ± 0.000.03 ± 0.000.03 ± 0.000.03 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.00Parkinsons0.28 ± 0.030.31 ± 0.110.20 ± 0.030.04 ± 0.020.12 ± 0.060.10 ± 0.060.09 ± 0.060.12 ± 0.060.11 ± 0.070.14 ± 0.08Pasture0.37 ± 0.040.18 ± 0.150.16 ± 0.130.21 ± 0.170.48 ± 0.030.48 ± 0.030.48 ± 0.030.19 ± 0.160.20 ± 0.160.24 ± 0.18Pbc0.40 ± 0.010.24 ± 0.060.29 ± 0.060.40 ± 0.090.39 ± 0.010.39 ± 0.010.39 ± 0.010.29 ± 0.050.27 ± 0.030.28 ± 0.09Pen0.12 ± 0.000.03 ± 0.000.01 ± 0.000.00 ± 0.000.17 ± 0.000.17 ± 0.000.17 ± 0.000.01 ± 0.000.01 ± 0.000.12 ± 0.00Pendigits0.12 ± 0.000.03 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.12 ± 0.00Pharynx0.36 ± 0.020.39 ± 0.040.36 ± 0.010.36 ± 0.100.25 ± 0.090.27 ± 0.110.30 ± 0.110.29 ± 0.040.30 ± 0.160.73 ± 0.06Phishingwebsites0.43 ± 0.000.09 ± 0.010.06 ± 0.000.03 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.000.03 ± 0.000.03 ± 0.000.11 ± 0.01Pima0.39 ± 0.010.28 ± 0.030.32 ± 0.050.30 ± 0.050.24 ± 0.040.25 ± 0.040.25 ± 0.030.30 ± 0.020.29 ± 0.020.29 ± 0.05Pittsburg-bridges-rel-l0.34 ± 0.020.26 ± 0.060.31 ± 0.070.20 ± 0.110.22 ± 0.080.21 ± 0.080.18 ± 0.070.27 ± 0.070.26 ± 0.070.19 ± 0.07Pittsburg-bridges-span0.35 ± 0.010.26 ± 0.050.30 ± 0.070.30 ± 0.100.23 ± 0.100.24 ± 0.110.24 ± 0.110.24 ± 0.040.22 ± 0.070.30 ± 0.09Pittsburg-bridges-t-or-d0.22 ± 0.040.20 ± 0.070.21 ± 0.090.17 ± 0.120.14 ± 0.080.12 ± 0.080.11 ± 0.080.15 ± 0.120.16 ± 0.130.15 ± 0.10Pittsburg-bridges-type0.23 ± 0.010.17 ± 0.020.17 ± 0.020.15 ± 0.040.15 ± 0.040.13 ± 0.060.13 ± 0.040.15 ± 0.050.15 ± 0.050.15 ± 0.02Pittsburg-bridgesmaterial0.21 ± 0.020.13 ± 0.050.13 ± 0.040.12 ± 0.070.09 ± 0.040.10 ± 0.040.11 ± 0.060.13 ± 0.060.15 ± 0.060.09 ± 0.03Planning0.41 ± 0.010.43 ± 0.030.41 ± 0.010.34 ± 0.090.29 ± 0.020.30 ± 0.060.34 ± 0.070.41 ± 0.050.43 ± 0.080.38 ± 0.09Plant-margin0.02 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.00Plant-shape0.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.00Plant-texture0.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.00Poker-hand-training-true0.11 ± 0.000.11 ± 0.000.10 ± 0.000.11 ± 0.000.08 ± 0.000.08 ± 0.000.09 ± 0.000.11 ± 0.000.11 ± 0.000.10 ± 0.00Post-operative0.28 ± 0.020.30 ± 0.040.28 ± 0.020.29 ± 0.070.19 ± 0.040.21 ± 0.050.22 ± 0.060.28 ± 0.070.29 ± 0.080.21 ± 0.05Primary-tumor0.11 ± 0.000.08 ± 0.010.09 ± 0.010.09 ± 0.010.07 ± 0.010.07 ± 0.010.07 ± 0.020.08 ± 0.010.08 ± 0.010.10 ± 0.00Qsarbioconcentration0.38 ± 0.000.38 ± 0.020.39 ± 0.020.38 ± 0.060.25 ± 0.010.27 ± 0.020.29 ± 0.030.39 ± 0.020.39 ± 0.020.27 ± 0.03Qsarbiodegradation0.39 ± 0.010.24 ± 0.030.19 ± 0.030.16 ± 0.020.14 ± 0.030.14 ± 0.020.14 ± 0.020.14 ± 0.020.14 ± 0.020.23 ± 0.04Qualitative-bankruptcy0.13 ± 0.010.01 ± 0.020.02 ± 0.030.00 ± 0.000.01 ± 0.030.01 ± 0.030.00 ± 0.010.01 ± 0.020.01 ± 0.020.02 ± 0.03Ringnorm0.30 ± 0.010.02 ± 0.000.09 ± 0.000.25 ± 0.020.01 ± 0.000.02 ± 0.000.02 ± 0.000.08 ± 0.010.09 ± 0.010.36 ± 0.01Risk-factors-cervical-cancer0.12 ± 0.010.11 ± 0.010.06 ± 0.020.06 ± 0.020.06 ± 0.010.07 ± 0.010.06 ± 0.020.05 ± 0.020.05 ± 0.020.04 ± 0.02Robotnavigation0.16 ± 0.000.24 ± 0.010.00 ± 0.000.06 ± 0.010.05 ± 0.010.04 ± 0.000.04 ± 0.000.07 ± 0.010.06 ± 0.010.12 ± 0.01Sapfile0.41 ± 0.010.33 ± 0.040.40 ± 0.080.41 ± 0.060.34 ± 0.060.34 ± 0.050.34 ± 0.060.35 ± 0.050.35 ± 0.070.39 ± 0.08Sat0.14 ± 0.000.07 ± 0.000.05 ± 0.000.03 ± 0.000.25 ± 0.000.24 ± 0.000.24 ± 0.000.04 ± 0.000.04 ± 0.000.13 ± 0.00Satelite0.14 ± 0.000.07 ± 0.000.05 ± 0.000.03 ± 0.000.25 ± 0.000.24 ± 0.000.24 ± 0.000.04 ± 0.000.04 ± 0.000.13 ± 0.01Scadi0.18 ± 0.010.05 ± 0.020.07 ± 0.030.08 ± 0.040.07 ± 0.030.06 ± 0.040.05 ± 0.040.06 ± 0.030.06 ± 0.030.12 ± 0.03Schillingdata0.19 ± 0.000.10 ± 0.010.23 ± 0.000.15 ± 0.010.13 ± 0.000.11 ± 0.010.08 ± 0.010.07 ± 0.020.09 ± 0.030.13 ± 0.00Seeds0.19 ± 0.030.06 ± 0.030.07 ± 0.040.04 ± 0.010.04 ± 0.030.04 ± 0.030.04 ± 0.030.04 ± 0.010.04 ± 0.010.12 ± 0.07Segment0.13 ± 0.000.06 ± 0.000.01 ± 0.000.01 ± 0.000.10 ± 0.010.09 ± 0.010.09 ± 0.010.02 ± 0.000.01 ± 0.000.10 ± 0.01Seismic-bumps0.12 ± 0.000.14 ± 0.020.12 ± 0.000.11 ± 0.010.07 ± 0.000.07 ± 0.000.07 ± 0.000.10 ± 0.010.09 ± 0.010.07 ± 0.01Semeion0.17 ± 0.000.03 ± 0.010.05 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.16 ± 0.00Setapprocesst10.40 ± 0.030.42 ± 0.190.38 ± 0.180.35 ± 0.100.36 ± 0.080.31 ± 0.110.33 ± 0.090.36 ± 0.190.37 ± 0.190.28 ± 0.23Setapprocesst100.44 ± 0.020.56 ± 0.150.42 ± 0.140.40 ± 0.160.34 ± 0.060.34 ± 0.060.34 ± 0.060.47 ± 0.240.47 ± 0.210.38 ± 0.08Setapprocesst110.44 ± 0.020.45 ± 0.250.36 ± 0.170.42 ± 0.160.34 ± 0.060.34 ± 0.060.34 ± 0.060.39 ± 0.150.35 ± 0.160.43 ± 0.11Setapprocesst20.44 ± 0.020.33 ± 0.150.27 ± 0.180.38 ± 0.210.34 ± 0.060.34 ± 0.060.34 ± 0.060.38 ± 0.170.35 ± 0.170.19 ± 0.17Setapprocesst30.44 ± 0.010.35 ± 0.120.40 ± 0.150.34 ± 0.130.34 ± 0.060.34 ± 0.060.34 ± 0.060.35 ± 0.120.35 ± 0.080.47 ± 0.16Setapprocesst40.41 ± 0.030.51 ± 0.240.45 ± 0.140.40 ± 0.180.29 ± 0.070.29 ± 0.070.29 ± 0.070.45 ± 0.190.43 ± 0.160.27 ± 0.12Setapprocesst50.43 ± 0.030.53 ± 0.170.47 ± 0.170.41 ± 0.170.35 ± 0.080.36 ± 0.090.36 ± 0.090.41 ± 0.130.39 ± 0.130.34 ± 0.25Setapprocesst60.44 ± 0.010.33 ± 0.160.35 ± 0.120.36 ± 0.140.34 ± 0.060.34 ± 0.060.34 ± 0.060.37 ± 0.150.37 ± 0.140.40 ± 0.20Setapprocesst70.44 ± 0.030.26 ± 0.140.39 ± 0.200.36 ± 0.150.34 ± 0.060.34 ± 0.060.34 ± 0.060.28 ± 0.180.29 ± 0.180.47 ± 0.15Setapprocesst80.43 ± 0.020.32 ± 0.140.30 ± 0.150.37 ± 0.150.34 ± 0.060.34 ± 0.060.34 ± 0.060.34 ± 0.160.34 ± 0.170.51 ± 0.11Setapprocesst90.44 ± 0.020.35 ± 0.150.32 ± 0.160.42 ± 0.100.34 ± 0.060.34 ± 0.060.34 ± 0.060.29 ± 0.180.33 ± 0.160.49 ± 0.17Shillbiddingdataset0.12 ± 0.000.04 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.03 ± 0.01Shuttle-landing-control0.16 ± 0.170.23 ± 0.290.12 ± 0.130.14 ± 0.190.05 ± 0.160.05 ± 0.160.05 ± 0.160.16 ± 0.270.16 ± 0.290.15 ± 0.34Somervillehappinesssurvey20150.47 ± 0.030.44 ± 0.060.41 ± 0.100.42 ± 0.100.40 ± 0.110.41 ± 0.100.41 ± 0.120.42 ± 0.110.43 ± 0.110.34 ± 0.16Sonar0.45 ± 0.010.31 ± 0.090.29 ± 0.070.14 ± 0.070.34 ± 0.050.30 ± 0.090.26 ± 0.100.19 ± 0.100.19 ± 0.090.37 ± 0.11Soybean0.09 ± 0.000.01 ± 0.010.02 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.000.01 ± 0.010.02 ± 0.010.02 ± 0.010.08 ± 0.00Spambase0.40 ± 0.000.21 ± 0.020.09 ± 0.010.09 ± 0.010.07 ± 0.010.06 ± 0.010.07 ± 0.010.11 ± 0.010.13 ± 0.060.22 ± 0.02Speaker-accent0.21 ± 0.010.15 ± 0.030.11 ± 0.030.07 ± 0.030.14 ± 0.010.13 ± 0.010.13 ± 0.010.08 ± 0.020.09 ± 0.020.17 ± 0.02Spect0.42 ± 0.030.31 ± 0.140.38 ± 0.090.49 ± 0.120.35 ± 0.110.36 ± 0.120.37 ± 0.090.46 ± 0.170.47 ± 0.160.28 ± 0.10Spectf0.47 ± 0.020.25 ± 0.120.28 ± 0.110.33 ± 0.180.32 ± 0.060.32 ± 0.060.24 ± 0.140.30 ± 0.140.29 ± 0.130.29 ± 0.08Statlog-australian-credit0.43 ± 0.000.46 ± 0.020.41 ± 0.050.44 ± 0.030.32 ± 0.020.36 ± 0.060.36 ± 0.060.41 ± 0.030.41 ± 0.030.35 ± 0.06Statlog-german-credit0.41 ± 0.000.29 ± 0.030.31 ± 0.040.32 ± 0.040.24 ± 0.040.23 ± 0.040.23 ± 0.040.30 ± 0.040.28 ± 0.030.29 ± 0.02Statlog-heart0.40 ± 0.020.19 ± 0.060.28 ± 0.080.25 ± 0.080.17 ± 0.050.20 ± 0.080.20 ± 0.100.22 ± 0.060.21 ± 0.080.29 ± 0.06Statlog-image0.12 ± 0.000.06 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.10 ± 0.01Statlog-landsat0.14 ± 0.000.07 ± 0.010.05 ± 0.010.03 ± 0.010.04 ± 0.010.03 ± 0.000.03 ± 0.010.04 ± 0.000.04 ± 0.010.13 ± 0.01Statlog-shuttle0.07 ± 0.000.03 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.00Statlog-vehicle0.29 ± 0.010.28 ± 0.010.14 ± 0.020.15 ± 0.020.12 ± 0.020.10 ± 0.010.10 ± 0.010.10 ± 0.010.10 ± 0.020.24 ± 0.03Steel-plates0.17 ± 0.000.12 ± 0.010.07 ± 0.010.08 ± 0.010.07 ± 0.010.07 ± 0.010.07 ± 0.010.08 ± 0.010.08 ± 0.010.15 ± 0.01Synthetic-control0.19 ± 0.000.02 ± 0.010.03 ± 0.010.01 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.14 ± 0.01Teaching0.40 ± 0.020.38 ± 0.030.29 ± 0.070.25 ± 0.090.29 ± 0.100.26 ± 0.080.25 ± 0.080.36 ± 0.030.36 ± 0.030.36 ± 0.07Thoraricsurgery0.25 ± 0.000.28 ± 0.080.25 ± 0.000.23 ± 0.060.15 ± 0.000.16 ± 0.010.16 ± 0.010.24 ± 0.040.22 ± 0.040.17 ± 0.02Thyroid0.18 ± 0.030.02 ± 0.020.06 ± 0.040.03 ± 0.020.16 ± 0.030.15 ± 0.030.15 ± 0.030.03 ± 0.020.03 ± 0.020.06 ± 0.06Thyroid-train0.09 ± 0.000.04 ± 0.010.00 ± 0.000.05 ± 0.010.03 ± 0.000.03 ± 0.000.02 ± 0.000.03 ± 0.010.03 ± 0.010.02 ± 0.01Tic-tac-toe0.44 ± 0.000.37 ± 0.010.07 ± 0.020.00 ± 0.000.01 ± 0.010.01 ± 0.010.00 ± 0.010.03 ± 0.010.02 ± 0.010.30 ± 0.02Titanic0.37 ± 0.010.31 ± 0.020.31 ± 0.010.31 ± 0.010.22 ± 0.020.21 ± 0.020.21 ± 0.020.32 ± 0.020.32 ± 0.030.22 ± 0.02Trains0.46 ± 0.080.40 ± 0.520.28 ± 0.460.42 ± 0.420.40 ± 0.520.30 ± 0.480.30 ± 0.480.28 ± 0.370.27 ± 0.371.00 ± 0.00Transfusion0.35 ± 0.010.29 ± 0.020.30 ± 0.010.32 ± 0.040.25 ± 0.030.27 ± 0.030.28 ± 0.040.30 ± 0.020.30 ± 0.020.24 ± 0.02Trial0.32 ± 0.020.10 ± 0.030.00 ± 0.000.00 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.00 ± 0.00Turkiye-student-evaluation0.34 ± 0.000.10 ± 0.010.00 ± 0.000.06 ± 0.010.03 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.00Unbalanced0.03 ± 0.000.11 ± 0.040.03 ± 0.000.02 ± 0.020.01 ± 0.000.02 ± 0.010.02 ± 0.010.03 ± 0.010.02 ± 0.010.01 ± 0.00Urbanlandcover0.16 ± 0.010.05 ± 0.020.05 ± 0.010.06 ± 0.020.18 ± 0.000.18 ± 0.000.18 ± 0.000.05 ± 0.020.05 ± 0.020.11 ± 0.03Userknowledgemodeling0.27 ± 0.020.11 ± 0.020.04 ± 0.020.10 ± 0.050.11 ± 0.030.07 ± 0.020.07 ± 0.020.05 ± 0.020.04 ± 0.020.07 ± 0.04Vehicle0.29 ± 0.010.28 ± 0.010.14 ± 0.020.15 ± 0.020.35 ± 0.010.34 ± 0.020.34 ± 0.020.10 ± 0.010.10 ± 0.020.24 ± 0.03Vertebral-column-2classes0.34 ± 0.040.22 ± 0.070.21 ± 0.060.18 ± 0.050.15 ± 0.050.15 ± 0.060.15 ± 0.060.18 ± 0.040.18 ± 0.040.26 ± 0.08Vertebral-column-3classes0.28 ± 0.020.14 ± 0.020.13 ± 0.040.15 ± 0.030.11 ± 0.040.10 ± 0.050.11 ± 0.040.13 ± 0.020.13 ± 0.020.17 ± 0.05Veteran0.39 ± 0.010.31 ± 0.050.34 ± 0.040.40 ± 0.090.29 ± 0.010.29 ± 0.010.29 ± 0.010.39 ± 0.120.34 ± 0.120.26 ± 0.08Vowel0.13 ± 0.000.09 ± 0.010.04 ± 0.010.00 ± 0.000.03 ± 0.000.02 ± 0.000.01 ± 0.000.02 ± 0.010.02 ± 0.000.12 ± 0.01Wall-following0.16 ± 0.000.24 ± 0.000.00 ± 0.000.06 ± 0.010.05 ± 0.010.05 ± 0.010.04 ± 0.010.07 ± 0.010.07 ± 0.010.12 ± 0.01Waveform-noise0.37 ± 0.000.14 ± 0.010.17 ± 0.010.18 ± 0.010.09 ± 0.010.10 ± 0.010.10 ± 0.010.11 ± 0.010.11 ± 0.010.31 ± 0.02Waveform0.34 ± 0.000.13 ± 0.010.17 ± 0.010.15 ± 0.010.09 ± 0.010.10 ± 0.010.10 ± 0.010.11 ± 0.010.11 ± 0.010.32 ± 0.01Wbc0.10 ± 0.010.03 ± 0.010.09 ± 0.020.05 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.020.04 ± 0.010.04 ± 0.020.09 ± 0.03Wdbc0.25 ± 0.020.07 ± 0.040.07 ± 0.040.04 ± 0.020.37 ± 0.010.37 ± 0.010.37 ± 0.010.03 ± 0.020.04 ± 0.020.10 ± 0.03Weathernominal0.45 ± 0.150.42 ± 0.160.36 ± 0.340.48 ± 0.240.30 ± 0.350.40 ± 0.390.25 ± 0.350.25 ± 0.350.25 ± 0.350.55 ± 0.44Weathernumeric0.55 ± 0.160.45 ± 0.180.24 ± 0.330.24 ± 0.300.30 ± 0.350.50 ± 0.470.50 ± 0.470.28 ± 0.390.29 ± 0.400.55 ± 0.44Website-phishingdata0.29 ± 0.000.14 ± 0.010.08 ± 0.010.09 ± 0.010.10 ± 0.010.09 ± 0.010.08 ± 0.010.09 ± 0.010.08 ± 0.010.12 ± 0.01Wholesalecustomersdata0.23 ± 0.020.12 ± 0.030.13 ± 0.030.12 ± 0.050.32 ± 0.010.32 ± 0.010.32 ± 0.010.11 ± 0.030.11 ± 0.030.10 ± 0.04Wifi-localization0.20 ± 0.000.01 ± 0.000.02 ± 0.000.01 ± 0.000.10 ± 0.010.10 ± 0.010.10 ± 0.010.01 ± 0.000.01 ± 0.000.11 ± 0.02Wilt0.10 ± 0.000.17 ± 0.010.02 ± 0.000.05 ± 0.010.05 ± 0.000.05 ± 0.000.05 ± 0.000.03 ± 0.000.02 ± 0.000.06 ± 0.00Wine-quality-red0.18 ± 0.000.18 ± 0.010.14 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.17 ± 0.010.16 ± 0.010.15 ± 0.01Wine-quality-white0.17 ± 0.000.17 ± 0.000.13 ± 0.010.10 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.16 ± 0.000.16 ± 0.000.15 ± 0.01Wine0.23 ± 0.010.02 ± 0.030.05 ± 0.030.04 ± 0.030.01 ± 0.020.01 ± 0.020.01 ± 0.020.02 ± 0.020.02 ± 0.020.15 ± 0.06Yamilnaduelectricty0.09 ± 0.000.09 ± 0.000.09 ± 0.000.08 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.00Yeast0.14 ± 0.000.10 ± 0.000.10 ± 0.010.10 ± 0.000.08 ± 0.010.08 ± 0.010.08 ± 0.010.10 ± 0.000.10 ± 0.000.12 ± 0.01Youtobe-kabita-preprocessing0.23 ± 0.000.21 ± 0.000.21 ± 0.000.20 ± 0.000.18 ± 0.010.18 ± 0.010.18 ± 0.010.22 ± 0.000.21 ± 0.000.19 ± 0.01Youtobe-nisha-preprocessing0.22 ± 0.000.21 ± 0.000.20 ± 0.000.20 ± 0.000.17 ± 0.010.17 ± 0.010.17 ± 0.010.21 ± 0.000.21 ± 0.000.20 ± 0.00Z-alizadehsani0.39 ± 0.010.20 ± 0.060.24 ± 0.080.22 ± 0.070.29 ± 0.010.29 ± 0.010.29 ± 0.010.17 ± 0.070.18 ± 0.060.29 ± 0.05Zoo0.14 ± 0.010.01 ± 0.020.02 ± 0.020.02 ± 0.010.02 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.020.08 ± 0.03Average mae (rank)0.2672 (10)0.1947 (9)0.1550 (3)0.1576 (4)0.1695 (7)0.1662 (6)0.1643 (5)0.1494 (2)0.1476 (1)0.1913 (8)Average mae std (rank)0.0120 (1)0.0374 (6)0.0372 (5)0.0431 (9)0.0318 (2)0.0345 (3)0.0350 (4)0.0400 (7)0.0413 (8)0.0438 (10)Table 10
The detailed experimental results on relative absolute error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone75.92 ± 1.4264.51 ± 3.1764.97 ± 1.9163.17 ± 3.7550.10 ± 3.7049.56 ± 3.5449.63 ± 3.3865.50 ± 2.1564.96 ± 2.4558.61 ± 2.68Absenteeism-at-work62.76 ± 1.2633.47 ± 5.170.73 ± 1.2533.50 ± 5.8531.11 ± 6.0931.11 ± 6.0931.11 ± 6.097.25 ± 2.917.28 ± 3.189.63 ± 3.49Acute-inflammation46.10 ± 4.8119.62 ± 5.030.00 ± 0.001.64 ± 0.100.00 ± 0.000.00 ± 0.000.00 ± 0.001.10 ± 0.100.79 ± 0.0841.67 ± 16.20Acute-nephritis43.11 ± 2.4010.82 ± 11.200.00 ± 0.001.66 ± 0.100.00 ± 0.000.00 ± 0.000.00 ± 0.001.12 ± 0.140.90 ± 0.1817.13 ± 16.15Adult94.23 ± 1.1855.36 ± 6.7860.24 ± 7.5459.42 ± 9.8345.84 ± 11.2945.50 ± 11.3645.67 ± 11.7658.87 ± 7.6658.37 ± 7.4553.92 ± 3.56Aggregation17.56 ± 6.471.06 ± 0.540.48 ± 0.781.23 ± 0.520.16 ± 0.520.33 ± 0.690.33 ± 0.697.37 ± 2.226.05 ± 2.4951.54 ± 3.72Algerianforest61.49 ± 4.7212.11 ± 10.359.21 ± 8.9324.91 ± 13.5383.64 ± 3.3677.76 ± 8.5277.76 ± 8.528.33 ± 6.217.25 ± 7.425.78 ± 9.62Annealing91.67 ± 0.6076.69 ± 9.3410.96 ± 5.4427.17 ± 5.5127.39 ± 7.8521.16 ± 6.3419.61 ± 5.2925.69 ± 8.9824.05 ± 6.9640.47 ± 0.10Arrhythmia96.40 ± 0.4356.91 ± 10.5756.76 ± 10.4870.08 ± 4.7556.02 ± 3.6550.52 ± 5.0651.82 ± 6.1150.80 ± 7.6566.27 ± 20.9259.26 ± 3.73Au1-100099.01 ± 0.3692.85 ± 2.6577.84 ± 7.9284.06 ± 11.3467.43 ± 0.5967.43 ± 0.5966.65 ± 2.1581.90 ± 9.7675.90 ± 9.2867.43 ± 0.59Au4-250095.13 ± 0.7383.45 ± 2.6152.13 ± 9.3564.38 ± 7.7267.92 ± 4.8267.92 ± 4.8267.92 ± 4.8262.96 ± 6.8062.81 ± 7.9281.84 ± 7.39Au6-100099.65 ± 0.3799.20 ± 0.7494.38 ± 4.26100.82 ± 4.3688.47 ± 0.0188.47 ± 0.0188.47 ± 0.0199.67 ± 3.16100.64 ± 4.4688.13 ± 2.58Au6-250-drift-au6-cd1-50099.81 ± 0.5498.95 ± 1.6595.38 ± 4.1497.98 ± 4.8891.22 ± 0.7691.22 ± 0.7691.22 ± 0.7699.52 ± 2.1198.83 ± 3.9988.26 ± 4.02Au6-cd1-40099.51 ± 0.5895.72 ± 3.6977.36 ± 8.0099.20 ± 9.4387.01 ± 0.8287.01 ± 0.8287.01 ± 0.8297.11 ± 6.0897.61 ± 5.1682.20 ± 7.92Au7-300-drift-au7-cpd1-80098.16 ± 0.6192.66 ± 1.3881.78 ± 4.6686.32 ± 5.3990.85 ± 2.0891.77 ± 2.4591.77 ± 2.4588.86 ± 2.6687.74 ± 3.1795.23 ± 3.94Au7-70097.73 ± 1.3291.56 ± 2.3575.84 ± 5.0496.84 ± 8.3194.08 ± 4.3295.37 ± 3.5295.37 ± 3.5290.41 ± 3.2388.33 ± 3.9882.94 ± 5.72Au7-cpd1-50098.68 ± 0.9294.29 ± 2.5170.29 ± 5.3183.29 ± 7.5282.49 ± 1.3381.96 ± 2.1381.96 ± 2.1384.23 ± 5.6082.95 ± 6.8679.82 ± 6.44Audiology-std96.20 ± 0.3531.94 ± 11.6829.80 ± 8.8938.14 ± 12.5142.68 ± 9.2237.28 ± 11.7933.87 ± 9.6825.65 ± 7.0326.42 ± 5.9860.90 ± 2.39Audit-risk58.08 ± 2.6711.29 ± 4.100.27 ± 0.854.85 ± 2.543.24 ± 2.782.69 ± 2.832.42 ± 2.958.64 ± 4.018.72 ± 3.900.00 ± 0.00Autism-adolescent-data77.89 ± 5.479.38 ± 6.010.00 ± 0.0021.64 ± 13.148.02 ± 10.379.94 ± 10.508.02 ± 10.3721.09 ± 18.1620.85 ± 18.510.00 ± 0.00Autism-adult-data74.39 ± 2.648.31 ± 4.770.00 ± 0.0013.34 ± 9.741.81 ± 2.551.09 ± 2.451.45 ± 2.530.56 ± 0.310.44 ± 0.250.00 ± 0.00Autism-child-data79.33 ± 2.438.93 ± 3.350.00 ± 0.0023.54 ± 7.650.69 ± 2.180.00 ± 0.000.00 ± 0.001.82 ± 1.731.95 ± 1.880.00 ± 0.00Autos75.47 ± 3.5056.55 ± 14.3226.24 ± 8.5233.42 ± 12.5584.46 ± 5.5283.20 ± 6.6683.20 ± 6.6631.92 ± 7.3631.38 ± 6.3348.67 ± 12.86Avila51.66 ± 0.5597.65 ± 2.378.75 ± 1.6031.65 ± 3.4841.49 ± 2.7438.68 ± 2.4036.83 ± 2.9762.83 ± 2.8462.56 ± 3.5336.74 ± 3.26Balance-scale73.87 ± 2.7356.05 ± 2.2749.81 ± 6.4833.52 ± 7.4316.85 ± 2.6712.64 ± 1.5211.24 ± 2.3421.20 ± 2.8821.89 ± 3.6076.65 ± 7.70Balloons81.25 ± 23.98100.00 ± 0.0091.06 ± 31.0068.48 ± 22.8857.00 ± 63.6037.00 ± 62.5537.00 ± 62.5556.90 ± 46.9054.78 ± 48.74112.50 ± 77.28Bank95.82 ± 0.5487.54 ± 4.7070.70 ± 4.1668.26 ± 6.5451.27 ± 3.0350.51 ± 2.7849.86 ± 5.2063.84 ± 5.6365.32 ± 9.2056.04 ± 3.01Blood96.32 ± 1.5679.63 ± 5.5083.64 ± 3.4188.71 ± 11.0959.27 ± 5.6557.81 ± 4.2459.28 ± 3.9081.45 ± 4.2181.29 ± 5.4665.18 ± 4.59Breast-cancer-wisc-diag52.63 ± 4.6514.91 ± 8.8715.46 ± 8.539.03 ± 3.995.25 ± 4.744.51 ± 4.263.76 ± 2.508.15 ± 3.788.12 ± 4.0023.28 ± 8.76Breast-cancer-wisc-prog97.66 ± 1.4493.25 ± 26.6579.33 ± 16.0975.56 ± 24.5756.86 ± 16.4060.03 ± 25.2361.33 ± 27.1975.38 ± 25.6573.70 ± 30.2682.38 ± 22.18Breast-cancer-wisc30.02 ± 4.699.08 ± 3.7416.30 ± 7.3110.02 ± 6.586.33 ± 4.226.65 ± 4.347.28 ± 4.2212.22 ± 7.5710.45 ± 4.7016.14 ± 10.05Breast-cancer93.44 ± 2.8775.65 ± 9.9987.28 ± 6.2572.06 ± 18.0062.49 ± 12.2264.17 ± 12.7566.71 ± 12.2577.44 ± 13.6778.80 ± 8.9670.83 ± 11.74Breast-tissue67.58 ± 7.1940.04 ± 13.6841.08 ± 16.6938.07 ± 15.8050.18 ± 17.4938.79 ± 19.9336.37 ± 20.1151.89 ± 8.2851.91 ± 11.1754.78 ± 11.74Bupa92.74 ± 3.0194.88 ± 6.4781.13 ± 16.9078.64 ± 10.0584.41 ± 4.5483.81 ± 4.8983.81 ± 4.8976.65 ± 7.6373.89 ± 7.6193.87 ± 16.05Caesarian88.07 ± 11.6884.08 ± 21.1793.33 ± 11.9896.10 ± 29.6491.75 ± 12.2376.84 ± 25.0384.51 ± 35.1391.04 ± 37.8691.03 ± 36.15105.03 ± 38.01Car94.52 ± 0.7754.16 ± 2.406.32 ± 1.728.13 ± 2.305.69 ± 2.474.17 ± 2.523.66 ± 2.1018.40 ± 2.7817.59 ± 3.2765.45 ± 0.26Cardiotocography-10classes81.53 ± 0.5936.58 ± 2.7523.93 ± 2.5725.86 ± 3.5122.35 ± 2.4920.95 ± 3.0520.11 ± 2.4624.50 ± 3.1125.72 ± 2.6962.40 ± 2.72Cardiotocography-3classes87.86 ± 1.2550.02 ± 8.4323.36 ± 6.8721.95 ± 4.7324.26 ± 5.2221.57 ± 5.6421.19 ± 4.7323.56 ± 2.7422.59 ± 5.5650.44 ± 8.62Cervical-cancer82.50 ± 7.3623.68 ± 18.1138.98 ± 28.4030.08 ± 26.3869.87 ± 5.3762.97 ± 15.9162.97 ± 15.9118.32 ± 18.3018.11 ± 18.4852.95 ± 20.63Chemicalcomposionofceramic48.22 ± 4.830.00 ± 0.002.50 ± 7.912.46 ± 0.01108.77 ± 4.62108.77 ± 4.62108.77 ± 4.621.03 ± 0.450.76 ± 0.360.00 ± 0.00Chess-krvk96.17 ± 0.2390.50 ± 0.6459.18 ± 2.8756.30 ± 3.5960.36 ± 2.9057.89 ± 2.5056.18 ± 3.2774.77 ± 1.1675.03 ± 1.7983.17 ± 2.35Chess-krvkp94.95 ± 0.2542.83 ± 3.052.14 ± 0.9320.43 ± 2.782.63 ± 1.811.63 ± 1.261.63 ± 1.071.99 ± 1.111.82 ± 1.1167.22 ± 2.90Congressional-voting98.94 ± 0.6293.83 ± 8.2996.58 ± 5.2094.06 ± 9.8380.94 ± 8.3981.91 ± 11.0082.87 ± 12.2491.50 ± 5.9591.17 ± 6.9578.06 ± 5.53Conn-bench-sonar-mines-rocks90.85 ± 2.5762.64 ± 17.9057.49 ± 14.4727.74 ± 13.9131.80 ± 14.1526.05 ± 15.6323.14 ± 15.7539.52 ± 18.3436.71 ± 17.2073.43 ± 21.12Conn-bench-vowel-deterding69.18 ± 0.7447.05 ± 4.2424.61 ± 6.913.07 ± 1.426.46 ± 2.082.71 ± 1.971.66 ± 1.6422.53 ± 3.0623.12 ± 3.6671.04 ± 5.43Connect-499.54 ± 0.11100.96 ± 2.4064.33 ± 4.3575.45 ± 7.1467.46 ± 0.6663.17 ± 2.5160.13 ± 4.5970.08 ± 5.0467.21 ± 4.0067.23 ± 0.35Connectionist90.55 ± 2.5864.31 ± 21.2253.66 ± 14.5826.82 ± 11.6377.57 ± 17.0460.81 ± 23.0954.92 ± 24.4634.74 ± 15.7633.84 ± 15.8074.66 ± 13.93Contrac96.44 ± 0.5985.85 ± 3.7579.77 ± 4.2288.33 ± 5.6870.39 ± 3.4270.59 ± 5.4571.54 ± 5.9780.87 ± 3.0680.04 ± 2.4880.47 ± 3.12Covid-1982.03 ± 14.9374.56 ± 43.2559.63 ± 65.0979.44 ± 49.0662.70 ± 59.1273.88 ± 73.3459.34 ± 71.9758.59 ± 61.8956.92 ± 63.1330.51 ± 52.42Credit-approval83.51 ± 2.4745.92 ± 6.3638.63 ± 6.3636.30 ± 11.3829.63 ± 11.0030.21 ± 9.7731.10 ± 9.2931.95 ± 5.2334.02 ± 7.1629.34 ± 9.07Crowdsource73.96 ± 0.9339.44 ± 4.3926.14 ± 3.0310.15 ± 1.9750.77 ± 2.1750.77 ± 2.1750.77 ± 2.1717.46 ± 3.7717.68 ± 4.1344.23 ± 4.55Crx82.23 ± 2.3645.10 ± 5.6238.94 ± 6.4538.35 ± 9.7589.49 ± 7.2288.02 ± 8.6185.38 ± 10.3736.33 ± 8.2233.45 ± 4.9529.34 ± 9.07Cryother63.26 ± 9.9036.78 ± 21.9421.18 ± 14.9222.05 ± 16.1235.58 ± 25.9133.34 ± 26.0033.34 ± 26.0027.40 ± 16.8633.55 ± 18.8937.93 ± 21.23Cylinder-bands93.48 ± 1.6468.93 ± 11.8860.97 ± 12.4564.94 ± 15.1350.87 ± 8.0843.91 ± 9.2139.39 ± 6.5857.23 ± 10.1355.07 ± 9.6370.12 ± 9.03Dbworld-bodies97.83 ± 0.7049.39 ± 31.1842.52 ± 32.6282.56 ± 20.2291.52 ± 10.5191.52 ± 10.5172.85 ± 25.44//27.35 ± 26.75Dbworld-bodies-stemmed97.66 ± 0.7947.11 ± 26.1230.81 ± 26.4673.31 ± 28.5691.52 ± 10.5182.41 ± 18.0552.77 ± 26.76//51.81 ± 41.11Dbworld-subjects98.00 ± 0.7234.71 ± 20.8961.24 ± 20.2450.30 ± 24.7591.52 ± 10.5191.52 ± 10.5191.52 ± 10.5126.89 ± 24.7126.72 ± 27.3175.22 ± 24.75Dbworld-subjects-stemmed98.01 ± 0.9134.39 ± 22.8654.43 ± 27.5438.63 ± 18.3891.52 ± 10.5191.52 ± 10.5191.52 ± 10.5128.03 ± 23.3228.47 ± 23.0978.63 ± 20.43Dermatology72.96 ± 0.823.58 ± 3.296.40 ± 3.797.57 ± 5.233.06 ± 2.962.71 ± 3.102.71 ± 3.494.35 ± 1.624.10 ± 1.7162.88 ± 2.99Diabetes86.31 ± 3.3962.50 ± 7.6369.45 ± 9.9565.77 ± 10.3676.77 ± 0.6376.77 ± 0.6376.77 ± 0.6364.99 ± 5.2963.83 ± 4.8062.74 ± 11.34Diabetic92.32 ± 1.4986.85 ± 4.4476.21 ± 7.0077.67 ± 9.5183.89 ± 9.5981.45 ± 12.0881.27 ± 11.4866.22 ± 6.3065.45 ± 5.3193.84 ± 11.41Divorce19.50 ± 5.154.71 ± 6.0811.74 ± 11.755.11 ± 5.534.71 ± 6.084.71 ± 6.084.71 ± 6.084.07 ± 5.114.05 ± 5.179.41 ± 10.80Dota2train99.84 ± 0.0894.52 ± 3.6294.55 ± 8.2989.94 ± 6.0694.88 ± 0.6992.95 ± 7.2395.10 ± 6.6099.93 ± 6.2096.66 ± 4.2189.49 ± 7.29Dow-jones-index89.78 ± 3.1299.48 ± 6.0057.59 ± 7.9490.96 ± 12.7096.02 ± 0.4396.02 ± 0.4396.02 ± 0.4391.60 ± 6.2789.30 ± 5.1087.20 ± 6.17Dry-bean-dataset26.66 ± 0.8012.10 ± 1.599.98 ± 1.336.74 ± 1.3646.84 ± 3.3146.84 ± 3.3146.84 ± 3.3111.68 ± 1.8711.20 ± 1.5438.29 ± 2.33Early-stage-diabetes-data-upload78.44 ± 2.7531.47 ± 7.3411.59 ± 5.574.37 ± 4.6112.18 ± 8.7710.97 ± 8.579.75 ± 7.948.41 ± 4.899.15 ± 6.2537.37 ± 9.14Echocardiogram89.70 ± 4.9850.08 ± 25.3354.44 ± 22.2159.82 ± 30.0641.36 ± 18.4143.30 ± 25.0243.30 ± 25.0254.38 ± 28.5651.03 ± 28.1332.62 ± 14.70Ecoli75.32 ± 1.7423.54 ± 5.7927.01 ± 9.0829.22 ± 8.5018.34 ± 6.2518.34 ± 5.9417.52 ± 4.8126.48 ± 3.8826.48 ± 4.7845.16 ± 9.41Eegeyesate91.56 ± 0.57107.84 ± 4.2234.17 ± 1.9633.05 ± 4.1190.71 ± 0.0690.63 ± 0.1390.63 ± 0.1398.31 ± 1.7697.85 ± 2.0175.59 ± 2.38Electrical68.31 ± 5.9913.75 ± 5.860.00 ± 0.0019.92 ± 16.1038.93 ± 16.7738.96 ± 14.6436.80 ± 13.944.36 ± 3.423.90 ± 3.090.73 ± 2.31Energy-y159.86 ± 1.2030.85 ± 3.385.99 ± 2.4639.08 ± 6.4018.15 ± 2.2316.28 ± 2.5716.28 ± 4.4920.68 ± 1.2121.30 ± 2.1824.83 ± 3.02Energy-y255.82 ± 1.1026.84 ± 3.0520.89 ± 3.0638.15 ± 5.3116.43 ± 3.2714.77 ± 2.4713.94 ± 2.3919.92 ± 2.7818.35 ± 3.6718.52 ± 4.92Extentionofz-alizadehsani93.03 ± 1.2119.68 ± 9.031.59 ± 2.2023.91 ± 12.4069.98 ± 2.6769.98 ± 2.6769.98 ± 2.675.18 ± 5.214.99 ± 5.2532.95 ± 11.46Fertility96.97 ± 4.6492.36 ± 13.73103.29 ± 16.8780.50 ± 51.6653.87 ± 10.4048.98 ± 20.0348.98 ± 30.5557.42 ± 28.5460.18 ± 42.9753.87 ± 10.40First-order97.19 ± 1.01393.57 ± 21.980.00 ± 0.003.81 ± 2.7955.11 ± 1.1626.10 ± 8.6011.74 ± 6.331.72 ± 1.861.44 ± 1.8353.29 ± 10.21Flags92.10 ± 1.7866.51 ± 7.3355.39 ± 10.3570.24 ± 10.5259.01 ± 11.6956.97 ± 12.7558.21 ± 16.3469.74 ± 13.5265.32 ± 12.6953.20 ± 8.94Foresttypes61.01 ± 2.626.73 ± 5.558.70 ± 7.508.20 ± 4.8693.73 ± 3.2291.00 ± 4.7691.00 ± 4.766.85 ± 4.626.50 ± 4.8423.86 ± 11.45Garments-worker-productivity94.96 ± 0.5797.33 ± 2.1773.76 ± 5.3197.73 ± 4.5585.27 ± 3.8684.50 ± 3.8983.51 ± 3.3086.04 ± 3.4987.19 ± 3.5589.36 ± 4.91Gender-name-dataset99.13 ± 0.8286.75 ± 9.13100.02 ± 0.1086.20 ± 3.0474.81 ± 2.8974.62 ± 4.2174.49 ± 3.78100.20 ± 2.2999.95 ± 2.8982.34 ± 2.17Gesture-a1-raw43.80 ± 1.1941.31 ± 3.6813.74 ± 2.795.76 ± 1.6588.48 ± 0.3788.48 ± 0.3788.48 ± 0.3716.33 ± 2.5815.27 ± 1.274.81 ± 1.98Gesture-a1-va376.61 ± 2.0060.43 ± 4.8152.58 ± 6.7438.36 ± 4.0388.64 ± 0.2188.64 ± 0.2188.64 ± 0.2151.35 ± 3.5350.57 ± 3.2056.61 ± 2.98Gesture-a2-raw44.81 ± 0.9945.32 ± 3.7616.78 ± 3.888.14 ± 4.3287.07 ± 0.3687.07 ± 0.3687.07 ± 0.3618.17 ± 2.4216.61 ± 2.977.56 ± 3.75Gesture-a2-va381.75 ± 2.1282.33 ± 10.2963.73 ± 3.7346.37 ± 5.8787.27 ± 0.3487.27 ± 0.3487.27 ± 0.3464.21 ± 4.7163.64 ± 5.6665.65 ± 5.84Gesture-a3-raw34.69 ± 1.2853.80 ± 3.1910.48 ± 1.455.31 ± 1.3386.11 ± 0.2686.11 ± 0.2686.11 ± 0.2617.87 ± 1.7118.09 ± 2.406.32 ± 1.56Gesture-a3-va381.14 ± 0.8367.45 ± 3.7234.68 ± 4.4213.90 ± 2.3886.25 ± 0.2886.25 ± 0.2886.25 ± 0.2857.22 ± 3.3655.36 ± 3.3566.08 ± 3.20Gesture-b1-raw41.41 ± 2.2372.03 ± 4.6711.04 ± 3.447.69 ± 3.9183.92 ± 0.9083.66 ± 1.0583.66 ± 1.0521.63 ± 3.7617.96 ± 2.5611.74 ± 3.07Gesture-b1-va383.39 ± 2.3590.45 ± 8.6643.56 ± 5.2513.47 ± 3.6784.39 ± 0.4784.39 ± 0.4784.39 ± 0.4760.78 ± 3.9256.72 ± 5.5478.87 ± 5.95Gesture-b3-raw48.32 ± 2.6260.30 ± 3.5912.84 ± 4.516.27 ± 1.1587.61 ± 0.4387.61 ± 0.4387.61 ± 0.4318.99 ± 4.8418.83 ± 4.556.07 ± 3.08Gesture-b3-va390.20 ± 1.6375.18 ± 4.5157.61 ± 4.6429.08 ± 3.8287.73 ± 0.2587.73 ± 0.2587.73 ± 0.2560.88 ± 4.9062.11 ± 4.4778.51 ± 7.19Gesture-c1-raw47.07 ± 2.1547.52 ± 3.5314.73 ± 2.897.66 ± 2.1394.19 ± 0.5394.19 ± 0.5394.19 ± 0.5319.08 ± 3.3519.07 ± 4.297.88 ± 3.30Gesture-c1-va383.85 ± 2.0762.77 ± 3.7054.69 ± 4.3437.89 ± 4.3594.50 ± 0.4294.50 ± 0.4294.50 ± 0.4250.38 ± 4.0251.14 ± 3.0874.23 ± 5.90Gesture-c3-raw44.71 ± 1.7251.60 ± 5.3016.74 ± 4.759.32 ± 2.9793.71 ± 0.2893.71 ± 0.2893.71 ± 0.2821.17 ± 2.8823.33 ± 2.297.27 ± 1.72Gesture-c3-va386.27 ± 1.6569.93 ± 2.9159.86 ± 5.0948.48 ± 6.0493.77 ± 0.2593.77 ± 0.2593.77 ± 0.2562.21 ± 4.7062.77 ± 5.2673.69 ± 3.58Glass74.97 ± 3.6771.06 ± 9.0848.23 ± 10.0242.06 ± 11.8036.66 ± 8.9437.99 ± 11.6439.26 ± 11.5053.34 ± 9.9950.21 ± 5.6858.02 ± 12.16Go-track-tracks67.60 ± 8.7437.42 ± 9.9527.13 ± 13.9219.34 ± 16.9656.18 ± 25.5056.25 ± 23.1256.25 ± 23.1237.59 ± 11.7436.30 ± 10.9049.11 ± 27.29Haberman-survival94.64 ± 3.4385.03 ± 6.7193.09 ± 6.0286.06 ± 18.0170.33 ± 11.6773.69 ± 7.1973.69 ± 7.1990.85 ± 6.5690.66 ± 7.1769.48 ± 7.26Hayes-roth62.76 ± 4.2567.68 ± 4.6930.93 ± 7.9221.33 ± 8.6821.04 ± 10.9229.15 ± 10.0330.33 ± 10.0151.32 ± 15.3749.42 ± 15.8686.18 ± 9.07Hcc-data94.91 ± 2.0070.55 ± 13.4190.97 ± 11.9177.33 ± 16.7080.73 ± 3.9680.73 ± 3.9680.73 ± 3.9675.16 ± 23.8976.59 ± 20.0265.20 ± 23.22Hcvdat80.27 ± 2.1638.07 ± 12.4633.72 ± 8.2540.46 ± 5.9453.59 ± 1.5053.59 ± 1.5053.59 ± 1.5032.43 ± 10.4634.86 ± 10.2445.68 ± 6.81Heart-cleveland91.33 ± 2.4971.33 ± 10.4380.13 ± 9.0570.80 ± 9.7965.53 ± 12.6563.49 ± 13.5965.48 ± 14.2472.20 ± 8.5371.26 ± 7.7573.19 ± 10.59Heart-hungarian78.79 ± 4.9641.67 ± 13.9859.37 ± 11.7049.09 ± 17.4839.56 ± 16.4238.16 ± 13.7336.72 ± 13.9950.25 ± 16.2450.26 ± 14.0645.51 ± 20.32Heart-switzerland97.90 ± 3.2892.11 ± 8.8890.12 ± 15.1694.39 ± 18.5884.83 ± 8.6983.77 ± 7.9181.35 ± 9.0284.47 ± 15.4380.93 ± 13.6094.32 ± 17.44Heart-va97.78 ± 1.2591.24 ± 7.3791.84 ± 6.2885.06 ± 9.9385.18 ± 12.4688.43 ± 11.1691.04 ± 12.3193.90 ± 7.8594.42 ± 10.2294.29 ± 12.81Heart-failure-clinical-records-dataset93.16 ± 1.6357.66 ± 10.1154.22 ± 10.9279.25 ± 15.4173.52 ± 2.8673.52 ± 2.8673.52 ± 2.8662.49 ± 10.6754.54 ± 18.0432.91 ± 14.29Hepatitis92.08 ± 3.5554.48 ± 24.8373.05 ± 20.6454.33 ± 16.4750.89 ± 18.8047.08 ± 28.0847.08 ± 28.0861.88 ± 27.4065.42 ± 34.3378.56 ± 21.85Hill-valley100.16 ± 2.29102.38 ± 4.86100.08 ± 0.2596.41 ± 6.9495.70 ± 13.1595.71 ± 14.8893.73 ± 13.9991.27 ± 4.5390.95 ± 4.77105.01 ± 9.86Hiv1625data49.77 ± 3.5620.84 ± 5.2036.62 ± 6.4432.25 ± 3.5322.02 ± 5.6618.55 ± 6.0117.69 ± 6.5914.33 ± 5.0418.96 ± 6.4958.22 ± 4.93Hiv746data49.45 ± 3.0921.20 ± 5.6051.28 ± 6.1933.32 ± 6.0921.02 ± 7.4618.32 ± 5.6218.05 ± 6.5615.19 ± 4.4716.16 ± 6.2838.28 ± 8.74Horse-colic87.65 ± 2.4059.11 ± 12.1633.81 ± 9.2550.78 ± 16.0635.25 ± 10.3633.09 ± 11.3032.37 ± 12.2949.23 ± 10.9947.76 ± 14.4438.15 ± 11.72Htru37.39 ± 2.0433.26 ± 2.7020.41 ± 2.6917.19 ± 2.2953.21 ± 0.8451.20 ± 1.1451.77 ± 1.0918.13 ± 2.9617.91 ± 2.3414.44 ± 2.41Hypothyroid93.55 ± 0.9348.91 ± 5.214.16 ± 1.7558.72 ± 10.6150.73 ± 2.0149.82 ± 4.9150.00 ± 5.2152.30 ± 32.6556.91 ± 36.3325.81 ± 6.37Ibeacon-rssi-labeled97.01 ± 0.2383.22 ± 1.7075.07 ± 2.2764.94 ± 2.8466.64 ± 1.7264.22 ± 2.8463.01 ± 3.1784.54 ± 1.8982.78 ± 2.1596.65 ± 1.75Ilpd-indian-liver94.61 ± 3.03108.16 ± 11.8094.49 ± 8.2586.13 ± 14.6070.00 ± 1.3871.70 ± 4.2471.29 ± 6.1284.04 ± 6.7483.75 ± 7.2083.01 ± 7.53Image-segmentation59.74 ± 3.0226.23 ± 6.5915.54 ± 9.1818.04 ± 5.0815.00 ± 3.7515.00 ± 5.2715.56 ± 5.1115.24 ± 4.3314.83 ± 4.4347.78 ± 10.21Immunotherapy89.60 ± 4.2192.94 ± 19.9669.14 ± 23.7791.35 ± 50.1462.20 ± 8.3562.20 ± 8.3562.20 ± 8.3557.96 ± 25.6661.26 ± 26.9645.99 ± 27.09Impensdata77.82 ± 2.6947.91 ± 6.0799.79 ± 0.0058.34 ± 8.2959.21 ± 0.7459.21 ± 0.7459.21 ± 0.7438.09 ± 7.7443.16 ± 10.6158.80 ± 7.71In-vehicle-coupon-recommendation97.77 ± 0.1283.15 ± 1.2776.82 ± 1.3473.01 ± 2.6963.41 ± 2.6862.33 ± 2.6761.48 ± 2.6960.94 ± 1.9859.27 ± 2.6380.46 ± 1.80Indian94.02 ± 2.54107.75 ± 12.2680.09 ± 10.7187.84 ± 16.7367.51 ± 3.8169.19 ± 3.3269.19 ± 3.3284.54 ± 7.5583.72 ± 7.1983.42 ± 7.37Ionosphere51.47 ± 4.5337.70 ± 10.1120.34 ± 7.1630.12 ± 9.7912.34 ± 4.9511.09 ± 6.889.24 ± 6.5321.13 ± 3.9120.94 ± 5.7141.49 ± 16.32Iris37.75 ± 5.3610.00 ± 5.767.87 ± 7.858.98 ± 8.045.00 ± 5.276.00 ± 6.995.00 ± 5.277.36 ± 6.206.64 ± 5.3212.00 ± 9.19Jain21.84 ± 8.2117.35 ± 7.281.39 ± 4.380.77 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.0017.70 ± 6.2817.64 ± 6.4312.52 ± 8.66Jsbach-chorals-harmony80.38 ± 0.7722.07 ± 2.5326.32 ± 2.9613.94 ± 2.1818.19 ± 2.9515.02 ± 2.1813.64 ± 3.3212.76 ± 2.8214.35 ± 4.5519.65 ± 3.00Knowledge76.90 ± 4.1335.94 ± 11.0611.39 ± 7.6736.84 ± 11.4522.75 ± 13.7615.49 ± 12.3811.42 ± 11.0214.79 ± 6.9214.60 ± 7.0724.50 ± 13.45Lasvegastripadvisorreviews99.97 ± 0.2598.75 ± 2.6097.89 ± 4.5298.63 ± 4.57101.19 ± 3.93103.28 ± 5.62100.49 ± 5.6499.59 ± 5.3998.21 ± 4.86100.23 ± 3.81Leaf82.76 ± 1.3728.96 ± 7.3742.06 ± 7.51100.12 ± 3.0385.83 ± 4.2478.52 ± 5.3377.00 ± 5.7556.53 ± 5.5957.23 ± 5.4378.83 ± 5.06Led-display86.13 ± 0.4342.75 ± 2.2346.22 ± 2.6442.55 ± 2.5631.24 ± 4.5531.46 ± 4.2331.80 ± 4.0742.19 ± 2.2240.90 ± 2.4189.39 ± 1.40Lenses78.24 ± 19.64102.13 ± 12.9743.55 ± 64.2037.48 ± 34.7836.36 ± 49.6532.73 ± 47.2832.73 ± 47.2853.43 ± 45.6655.71 ± 48.2462.42 ± 68.75Letter89.09 ± 0.1243.64 ± 0.5914.28 ± 0.714.39 ± 0.315.33 ± 0.264.16 ± 0.313.63 ± 0.2221.06 ± 1.0420.96 ± 0.8086.06 ± 0.38Libras79.37 ± 2.4339.44 ± 9.8133.97 ± 10.2418.90 ± 5.1020.23 ± 4.3915.77 ± 4.6613.98 ± 4.2225.08 ± 4.4923.87 ± 4.3284.50 ± 6.46Low-res-spect74.95 ± 1.6429.64 ± 5.9127.01 ± 5.0826.51 ± 5.9415.95 ± 3.6915.66 ± 4.1514.24 ± 3.8514.10 ± 4.7814.10 ± 4.5239.53 ± 7.99Lung-cancer92.89 ± 5.0256.37 ± 24.3187.48 ± 36.4376.93 ± 50.2070.31 ± 32.9761.64 ± 32.4773.12 ± 38.0979.89 ± 33.0579.31 ± 34.2279.46 ± 27.00Lymphography84.63 ± 2.2638.02 ± 11.2352.62 ± 13.9448.40 ± 24.0226.31 ± 17.0727.84 ± 18.2431.39 ± 16.2837.80 ± 14.2137.20 ± 13.1945.35 ± 14.88Magic74.32 ± 1.8960.02 ± 4.3348.72 ± 3.9844.28 ± 5.0933.12 ± 4.6632.55 ± 3.7832.55 ± 3.0841.43 ± 4.1542.65 ± 4.2261.10 ± 9.66Mammographic72.02 ± 2.5648.19 ± 5.7449.33 ± 3.9951.58 ± 9.6134.73 ± 4.2935.56 ± 5.2235.15 ± 5.3150.99 ± 3.1152.18 ± 5.2236.41 ± 2.52Miniboone77.60 ± 0.71180.29 ± 3.5236.81 ± 6.0642.03 ± 4.0139.34 ± 6.2736.60 ± 5.3634.65 ± 4.7053.19 ± 7.0654.03 ± 8.2146.39 ± 4.51Molec-biol-promoter89.02 ± 4.0126.91 ± 16.7453.25 ± 20.1055.99 ± 23.6734.72 ± 26.9130.72 ± 23.8930.72 ± 23.8946.07 ± 17.9746.21 ± 18.1660.51 ± 22.18Molec-biol-splice96.55 ± 0.2316.95 ± 2.4313.87 ± 2.8760.03 ± 3.4020.95 ± 3.2120.69 ± 2.7821.56 ± 2.1226.61 ± 3.4527.08 ± 2.9359.63 ± 3.71Monks-178.06 ± 6.4473.39 ± 15.318.32 ± 13.8761.26 ± 18.4438.71 ± 24.2133.84 ± 21.8433.71 ± 19.1827.39 ± 27.9323.27 ± 32.8153.45 ± 19.63Monks-2100.45 ± 2.64101.79 ± 5.6257.45 ± 20.6082.85 ± 22.0989.06 ± 15.2782.81 ± 26.2175.20 ± 25.6161.57 ± 19.7957.60 ± 17.0087.86 ± 9.58Monks-374.97 ± 6.4353.25 ± 8.9421.44 ± 15.4250.96 ± 30.8919.62 ± 15.1221.41 ± 15.9121.41 ± 15.9133.73 ± 20.1225.08 ± 12.8644.24 ± 7.68Mushroom65.43 ± 0.9424.96 ± 2.210.00 ± 0.000.03 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.14 ± 0.010.09 ± 0.012.96 ± 0.96Musk-180.80 ± 2.6952.32 ± 14.5431.55 ± 13.3331.05 ± 9.2218.77 ± 8.7415.39 ± 5.8212.83 ± 6.0814.69 ± 4.8914.71 ± 4.7776.50 ± 18.17Musk-276.64 ± 1.2655.96 ± 5.8318.49 ± 4.9014.48 ± 3.6114.72 ± 4.519.70 ± 3.587.30 ± 2.855.64 ± 2.645.43 ± 3.2338.67 ± 4.73Newdiagnosis48.01 ± 3.5520.34 ± 6.580.00 ± 0.000.17 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.001.41 ± 0.181.02 ± 0.1046.26 ± 14.11Nursery88.77 ± 0.1531.12 ± 0.760.89 ± 0.3917.22 ± 0.862.58 ± 0.321.94 ± 0.301.56 ± 0.297.45 ± 1.969.42 ± 2.5542.53 ± 1.51Obesitydataset-raw-and-data-sinthetic78.81 ± 0.3944.47 ± 1.698.71 ± 2.0721.26 ± 2.8812.01 ± 2.729.68 ± 2.628.80 ± 2.598.47 ± 3.078.33 ± 1.7738.45 ± 4.18Obs-network-dataset-2-aug2745.55 ± 1.7941.61 ± 7.450.52 ± 1.641.51 ± 0.923.45 ± 0.973.45 ± 0.973.45 ± 0.977.92 ± 2.395.39 ± 1.8313.83 ± 3.08Occupancy-data18.67 ± 2.0310.09 ± 2.203.99 ± 1.681.95 ± 1.0841.13 ± 4.3538.62 ± 4.9938.62 ± 4.997.57 ± 1.997.12 ± 2.182.83 ± 1.67Occupancy-data222.14 ± 1.3711.92 ± 1.512.71 ± 0.551.64 ± 0.6849.55 ± 1.5043.21 ± 1.7643.21 ± 1.762.78 ± 0.622.62 ± 0.531.88 ± 0.47Occupancy-data314.30 ± 1.406.64 ± 1.542.00 ± 0.451.66 ± 0.6751.10 ± 1.5946.29 ± 1.8346.25 ± 1.814.03 ± 0.843.97 ± 0.881.87 ± 0.53Old84.69 ± 0.5315.52 ± 2.1313.01 ± 2.865.28 ± 1.689.97 ± 1.889.73 ± 2.589.15 ± 2.416.60 ± 2.046.64 ± 2.4822.91 ± 3.27Online-shoppers-intention92.63 ± 0.4286.25 ± 4.5753.53 ± 1.7470.60 ± 2.1959.24 ± 0.2159.42 ± 0.4959.64 ± 0.5951.02 ± 5.2852.07 ± 6.1244.98 ± 3.77Oocytes-merluccius-nucleus-4d89.08 ± 2.3890.22 ± 8.8765.21 ± 8.1362.94 ± 8.7751.35 ± 6.6044.93 ± 5.6442.93 ± 6.7745.77 ± 5.9647.91 ± 7.6675.00 ± 11.58Oocytes-merluccius-states-2f53.89 ± 4.0432.92 ± 8.0123.11 ± 7.1719.73 ± 6.1418.04 ± 5.6117.19 ± 4.5515.71 ± 4.2819.18 ± 3.5619.41 ± 4.6639.27 ± 10.17Oocytes-trisopterus-nucleus-2f89.86 ± 2.4794.11 ± 10.0661.67 ± 11.1752.72 ± 11.8638.64 ± 7.5133.25 ± 6.9734.15 ± 5.6637.00 ± 5.5639.20 ± 6.5183.14 ± 12.22Oocytes-trisopterus-states-5b61.02 ± 4.4448.06 ± 8.1026.01 ± 6.0618.56 ± 7.3716.39 ± 6.7815.30 ± 5.4614.42 ± 4.6314.42 ± 5.0314.44 ± 5.1639.78 ± 5.50Optdigits89.32 ± 0.159.66 ± 1.1211.34 ± 1.611.74 ± 0.7129.85 ± 2.1227.92 ± 2.3127.92 ± 2.312.91 ± 0.672.43 ± 0.5781.08 ± 1.37Optical88.77 ± 0.229.36 ± 1.3512.64 ± 1.312.00 ± 0.631.57 ± 0.621.39 ± 0.671.42 ± 0.652.91 ± 0.682.93 ± 0.7580.33 ± 1.44Ozone98.65 ± 0.75514.31 ± 55.6983.66 ± 10.3087.49 ± 11.3251.08 ± 1.8651.08 ± 1.8651.08 ± 1.8667.47 ± 15.3961.98 ± 13.0155.98 ± 7.57Page-blocks67.45 ± 1.9957.06 ± 7.9021.18 ± 2.3221.68 ± 3.2220.05 ± 3.9318.71 ± 3.9518.52 ± 4.0026.28 ± 3.5625.37 ± 3.4432.81 ± 3.16Parkingbirmingham21.04 ± 1.6631.59 ± 1.110.00 ± 0.003.44 ± 0.6942.84 ± 3.9240.14 ± 4.0540.14 ± 4.0527.47 ± 1.4523.68 ± 1.490.00 ± 0.00Parkinsons74.34 ± 7.3682.45 ± 30.0053.50 ± 10.0711.04 ± 6.5732.95 ± 16.9227.47 ± 16.7923.27 ± 15.5031.68 ± 15.1029.52 ± 19.5537.10 ± 20.47Pasture81.94 ± 8.6540.75 ± 34.2535.21 ± 28.5647.07 ± 37.59107.02 ± 6.04107.02 ± 6.04107.02 ± 6.0441.92 ± 35.9943.88 ± 36.4954.68 ± 39.33Pbc83.92 ± 3.2150.57 ± 13.5260.78 ± 11.9485.44 ± 18.4881.30 ± 1.3881.30 ± 1.3881.30 ± 1.3861.73 ± 10.6156.72 ± 6.2958.61 ± 19.36Pen68.81 ± 0.3616.90 ± 1.264.44 ± 0.530.81 ± 0.1996.14 ± 0.9595.06 ± 1.0695.06 ± 1.066.74 ± 0.776.83 ± 0.4367.85 ± 1.71Pendigits68.16 ± 0.4014.41 ± 1.414.97 ± 0.790.78 ± 0.260.43 ± 0.210.37 ± 0.170.39 ± 0.196.10 ± 0.696.03 ± 0.6066.97 ± 2.20Pharynx100.44 ± 3.94107.48 ± 11.5699.56 ± 0.04100.09 ± 29.3767.52 ± 22.1673.58 ± 28.0581.86 ± 28.0780.91 ± 10.3382.63 ± 43.90201.57 ± 18.02Phishingwebsites87.61 ± 0.2118.12 ± 1.1511.49 ± 0.836.55 ± 1.1111.14 ± 1.0510.14 ± 1.029.60 ± 0.936.99 ± 0.836.88 ± 0.6322.51 ± 1.14Pima86.45 ± 3.1462.48 ± 7.6569.45 ± 9.9565.77 ± 10.3653.56 ± 8.9454.71 ± 8.8155.00 ± 7.5265.00 ± 5.2963.83 ± 4.8062.74 ± 11.34Pittsburg-bridges-rel-l85.63 ± 4.1466.08 ± 15.1876.14 ± 17.0149.78 ± 27.1054.48 ± 20.2852.97 ± 20.3645.14 ± 18.3367.73 ± 16.6664.05 ± 17.5548.20 ± 17.58Pittsburg-bridges-span86.15 ± 3.4764.47 ± 11.4172.83 ± 17.0072.74 ± 26.2256.74 ± 24.0658.65 ± 26.7558.65 ± 26.7558.68 ± 11.3054.18 ± 17.9473.56 ± 22.28Pittsburg-bridges-t-or-d92.43 ± 8.6180.50 ± 21.1286.75 ± 31.0869.10 ± 43.9553.74 ± 26.2047.70 ± 33.0143.14 ± 29.2658.96 ± 44.7065.23 ± 51.6560.71 ± 42.49Pittsburg-bridges-type89.03 ± 3.9767.18 ± 9.4365.56 ± 7.2858.61 ± 14.7360.67 ± 16.0650.95 ± 23.2049.46 ± 17.7160.92 ± 18.9159.26 ± 20.9757.79 ± 7.39Pittsburg-bridgesmaterial73.99 ± 3.7945.14 ± 15.6247.53 ± 13.3542.97 ± 27.9933.41 ± 14.3235.53 ± 13.8938.09 ± 22.4345.06 ± 20.5252.34 ± 19.8831.28 ± 10.34Planning99.62 ± 2.38104.13 ± 8.7699.73 ± 0.0283.73 ± 22.6769.71 ± 2.8272.56 ± 14.7683.38 ± 17.31101.14 ± 12.75105.45 ± 20.7192.84 ± 21.47Plant-margin94.95 ± 0.1215.73 ± 2.4654.50 ± 4.1731.05 ± 2.6317.36 ± 2.2915.40 ± 2.8315.02 ± 2.8524.09 ± 1.8123.12 ± 2.5193.24 ± 2.19Plant-shape91.94 ± 0.1147.32 ± 3.0355.79 ± 3.2539.84 ± 3.1651.57 ± 1.6343.68 ± 3.1640.34 ± 3.3943.86 ± 3.2241.23 ± 3.0392.35 ± 1.63Plant-texture95.39 ± 0.1525.87 ± 3.1850.29 ± 3.3925.28 ± 2.6816.86 ± 2.5214.59 ± 2.3114.08 ± 2.3723.84 ± 1.6022.80 ± 1.5997.53 ± 0.91Poker-hand-training-true99.97 ± 0.0199.98 ± 0.0384.40 ± 2.9193.48 ± 1.5172.66 ± 1.7674.66 ± 1.6476.64 ± 1.9696.31 ± 1.2696.86 ± 1.7988.07 ± 0.03Post-operative97.54 ± 2.88103.29 ± 8.2397.97 ± 0.37101.82 ± 20.3666.34 ± 9.6571.48 ± 12.9976.48 ± 17.8697.20 ± 19.90101.48 ± 28.6771.48 ± 12.99Primary-tumor95.28 ± 0.6968.67 ± 6.7173.20 ± 6.0176.00 ± 9.2560.18 ± 12.2462.24 ± 11.8663.26 ± 13.4270.17 ± 7.3070.44 ± 7.8081.40 ± 3.14Qsarbioconcentration100.17 ± 0.61100.83 ± 4.02102.60 ± 5.96102.26 ± 15.1866.97 ± 1.4871.09 ± 4.1278.25 ± 7.59104.51 ± 6.05104.62 ± 4.8572.41 ± 8.44Qsarbiodegradation88.05 ± 1.7353.37 ± 6.9242.98 ± 6.4236.83 ± 5.0131.57 ± 5.8730.73 ± 4.8532.22 ± 5.5732.16 ± 3.7632.35 ± 3.6752.10 ± 8.81Qualitative-bankruptcy26.63 ± 1.921.79 ± 3.294.80 ± 6.530.66 ± 0.542.46 ± 5.542.46 ± 5.540.81 ± 2.571.60 ± 3.701.48 ± 3.653.28 ± 5.74Ringnorm59.88 ± 2.393.92 ± 0.6618.08 ± 0.3749.70 ± 3.172.81 ± 0.833.05 ± 0.823.30 ± 0.9716.74 ± 2.4917.42 ± 1.6971.14 ± 1.93Risk-factors-cervical-cancer96.16 ± 1.0992.97 ± 11.3049.02 ± 12.4447.55 ± 18.0252.88 ± 2.9353.88 ± 5.5949.80 ± 12.0941.47 ± 12.5145.32 ± 16.3231.89 ± 16.03Robotnavigation47.91 ± 1.2371.45 ± 2.170.69 ± 0.3717.81 ± 1.8315.05 ± 1.7313.31 ± 1.4812.09 ± 1.1719.84 ± 2.4219.17 ± 3.4737.18 ± 2.86Sapfile95.19 ± 1.5877.07 ± 9.4892.26 ± 18.2996.60 ± 13.9579.45 ± 13.7578.18 ± 10.6378.15 ± 13.0681.94 ± 12.1382.67 ± 16.5990.31 ± 19.72Sat51.32 ± 0.5225.36 ± 1.4918.48 ± 1.1311.75 ± 0.9791.15 ± 0.6689.69 ± 0.5889.69 ± 0.5813.80 ± 1.7114.23 ± 1.2649.67 ± 1.61Satelite51.35 ± 0.6025.36 ± 1.3618.21 ± 0.8511.72 ± 1.3791.17 ± 0.7189.59 ± 0.8889.59 ± 0.8813.49 ± 0.6614.00 ± 1.0349.40 ± 2.03Scadi84.82 ± 1.6422.22 ± 11.1032.14 ± 15.3435.37 ± 17.0332.36 ± 12.7628.64 ± 18.7124.89 ± 20.4128.81 ± 14.8528.22 ± 14.9755.28 ± 13.83Schillingdata82.03 ± 2.0042.45 ± 2.6399.92 ± 0.0063.68 ± 3.9357.60 ± 0.4047.78 ± 4.4336.36 ± 2.8732.39 ± 8.2939.05 ± 12.6358.26 ± 1.72Seeds42.07 ± 5.7814.04 ± 6.2714.78 ± 8.7410.00 ± 2.969.29 ± 5.889.29 ± 5.889.29 ± 5.889.26 ± 3.268.33 ± 3.1126.43 ± 15.08Segment53.80 ± 1.2423.49 ± 1.804.27 ± 1.123.65 ± 0.7240.40 ± 3.3638.48 ± 2.8038.54 ± 2.886.42 ± 1.055.63 ± 0.8342.17 ± 3.24Seismic-bumps98.69 ± 0.40115.78 ± 13.1298.60 ± 3.5886.32 ± 11.8053.38 ± 0.0653.38 ± 0.0653.38 ± 0.0678.60 ± 8.8875.65 ± 8.0557.15 ± 4.41Semeion96.78 ± 0.0715.63 ± 3.0329.94 ± 2.4110.00 ± 1.864.88 ± 1.194.26 ± 0.774.33 ± 0.809.99 ± 1.859.37 ± 1.9289.35 ± 0.53Setapprocesst193.44 ± 5.9396.50 ± 43.9487.03 ± 39.9581.33 ± 23.3583.51 ± 18.7572.54 ± 24.3476.34 ± 21.0982.46 ± 42.8085.72 ± 44.1964.52 ± 53.46Setapprocesst1098.97 ± 3.13124.35 ± 32.4194.02 ± 29.9788.89 ± 36.5474.50 ± 9.5974.50 ± 9.5974.50 ± 9.59105.91 ± 54.99105.17 ± 48.8884.35 ± 17.77Setapprocesst1198.56 ± 4.45101.50 ± 58.3881.02 ± 38.4193.61 ± 33.2674.50 ± 9.5974.50 ± 9.5974.50 ± 9.5986.46 ± 33.2578.38 ± 37.2495.80 ± 22.70Setapprocesst297.76 ± 3.5873.36 ± 30.5559.92 ± 40.5983.49 ± 46.0274.50 ± 9.5974.50 ± 9.5974.50 ± 9.5984.47 ± 38.0178.61 ± 38.2241.47 ± 37.02Setapprocesst397.51 ± 3.1778.93 ± 26.9088.97 ± 34.4976.68 ± 30.3074.50 ± 9.5974.50 ± 9.5974.50 ± 9.5977.26 ± 27.6477.43 ± 19.43104.81 ± 36.47Setapprocesst499.87 ± 2.10122.70 ± 60.90110.95 ± 35.4897.13 ± 42.8768.66 ± 13.0068.66 ± 13.0068.66 ± 13.00109.70 ± 45.59105.27 ± 38.8866.22 ± 27.24Setapprocesst596.83 ± 4.53118.50 ± 38.81105.16 ± 36.9490.15 ± 36.2077.22 ± 14.4579.94 ± 17.5979.94 ± 17.5991.72 ± 26.5486.41 ± 25.9277.05 ± 57.09Setapprocesst697.09 ± 2.1272.69 ± 34.8978.35 ± 27.5680.69 ± 31.4774.50 ± 9.5974.50 ± 9.5974.50 ± 9.5982.28 ± 31.9683.55 ± 31.7289.05 ± 46.01Setapprocesst797.36 ± 4.0257.12 ± 30.9387.54 ± 43.2280.30 ± 31.0974.50 ± 9.5974.50 ± 9.5974.50 ± 9.5962.70 ± 38.9964.34 ± 39.59105.09 ± 34.29Setapprocesst896.38 ± 2.6170.34 ± 32.1167.05 ± 33.1583.06 ± 34.0074.50 ± 9.5974.50 ± 9.5974.50 ± 9.5976.02 ± 35.5374.51 ± 36.64113.36 ± 28.85Setapprocesst998.09 ± 2.6578.22 ± 32.6870.80 ± 35.6993.07 ± 20.3074.50 ± 9.5974.50 ± 9.5974.50 ± 9.5964.42 ± 39.1173.83 ± 36.60110.64 ± 39.73Shillbiddingdataset64.59 ± 0.9718.80 ± 1.932.83 ± 0.764.15 ± 1.482.40 ± 0.912.32 ± 1.091.82 ± 1.022.19 ± 0.881.92 ± 1.0414.25 ± 2.80Shuttle-landing-control98.09 ± 98.47153.52 ± 221.3161.65 ± 13.4881.09 ± 116.7810.00 ± 31.6210.00 ± 31.6210.00 ± 31.6294.74 ± 194.4998.24 ± 206.9490.00 ± 251.44Somervillehappinesssurvey201593.67 ± 5.9089.07 ± 11.6082.68 ± 20.0083.95 ± 20.2680.34 ± 21.7583.02 ± 20.6382.95 ± 23.4684.30 ± 21.1885.77 ± 21.6269.05 ± 31.84Sonar90.81 ± 2.6462.61 ± 17.9157.49 ± 14.4727.74 ± 13.9168.49 ± 10.8759.72 ± 18.0353.03 ± 19.1238.08 ± 19.2637.80 ± 18.7975.34 ± 22.26Soybean88.59 ± 0.639.44 ± 5.7315.32 ± 5.0318.94 ± 4.9210.70 ± 6.568.56 ± 4.879.26 ± 5.1315.90 ± 6.4415.33 ± 5.9575.82 ± 2.65Spambase84.20 ± 0.6943.63 ± 3.7118.72 ± 2.0919.36 ± 2.2613.84 ± 1.9513.61 ± 2.3013.79 ± 1.9322.48 ± 2.5727.47 ± 12.1045.33 ± 4.18Speaker-accent88.94 ± 2.9565.19 ± 10.7545.75 ± 13.1329.60 ± 12.5359.48 ± 5.5453.85 ± 6.0753.85 ± 6.0736.25 ± 8.7037.57 ± 9.1270.82 ± 6.72Spect94.05 ± 5.8870.52 ± 33.6486.21 ± 21.82111.23 ± 27.4979.59 ± 25.4280.41 ± 27.2383.14 ± 22.23105.25 ± 38.65105.67 ± 38.3562.49 ± 20.91Spectf93.47 ± 4.0949.03 ± 24.5956.85 ± 22.7765.95 ± 36.6265.00 ± 12.9165.00 ± 12.9147.50 ± 27.5159.54 ± 28.0057.60 ± 26.1557.50 ± 16.87Statlog-australian-credit98.53 ± 0.69105.50 ± 4.7092.82 ± 10.37101.28 ± 7.6874.34 ± 4.0681.65 ± 14.6382.63 ± 12.8093.88 ± 7.5795.03 ± 7.0479.67 ± 14.60Statlog-german-credit97.57 ± 0.3268.80 ± 7.5172.76 ± 9.8076.73 ± 9.3556.88 ± 9.8154.02 ± 8.9154.02 ± 10.5370.24 ± 8.4166.81 ± 7.4069.26 ± 5.43Statlog-heart79.99 ± 3.4137.70 ± 13.1056.04 ± 16.7450.66 ± 17.2034.50 ± 10.7240.50 ± 17.0341.25 ± 19.4445.54 ± 11.9041.61 ± 15.5058.49 ± 12.65Statlog-image50.97 ± 1.1923.62 ± 1.874.25 ± 1.143.65 ± 0.726.67 ± 1.035.66 ± 1.115.30 ± 1.046.16 ± 1.006.14 ± 1.2242.37 ± 2.87Statlog-landsat50.64 ± 0.8825.41 ± 2.7418.67 ± 2.1612.33 ± 2.1013.03 ± 1.9612.13 ± 1.7112.05 ± 1.9914.70 ± 1.5314.52 ± 2.1348.93 ± 2.08Statlog-shuttle72.47 ± 0.5427.12 ± 1.380.14 ± 0.070.21 ± 0.100.70 ± 0.130.57 ± 0.130.55 ± 0.121.28 ± 0.171.26 ± 0.1414.83 ± 0.84Statlog-vehicle77.89 ± 1.5774.64 ± 3.2137.89 ± 5.6140.51 ± 5.9431.06 ± 5.1826.33 ± 3.4726.01 ± 3.1526.89 ± 3.5226.91 ± 4.8465.11 ± 6.80Steel-plates74.89 ± 1.2851.74 ± 4.5932.78 ± 3.8536.31 ± 3.4931.44 ± 3.5629.59 ± 2.9029.72 ± 3.7437.74 ± 2.8537.67 ± 2.9266.60 ± 4.99Synthetic-control67.81 ± 1.686.59 ± 3.8810.39 ± 4.215.25 ± 2.550.80 ± 1.030.60 ± 0.970.60 ± 0.972.38 ± 1.172.10 ± 1.1451.60 ± 4.60Teaching91.04 ± 3.5985.30 ± 6.2265.99 ± 14.7356.33 ± 19.1965.76 ± 22.0457.76 ± 19.0156.76 ± 18.5680.76 ± 7.8480.52 ± 7.8480.45 ± 16.39Thoraricsurgery98.87 ± 1.05111.80 ± 29.7099.67 ± 0.2289.90 ± 23.2158.48 ± 0.0060.99 ± 4.0460.99 ± 4.0492.81 ± 15.6486.92 ± 17.5665.17 ± 6.59Thyroid57.77 ± 8.057.98 ± 7.6618.77 ± 13.148.02 ± 5.0551.27 ± 10.3248.41 ± 9.5248.41 ± 9.529.32 ± 6.578.93 ± 6.4319.81 ± 18.26Thyroid-train92.47 ± 1.0247.14 ± 5.662.20 ± 2.2655.74 ± 9.3934.50 ± 4.8630.39 ± 4.2226.29 ± 4.4430.70 ± 6.7235.07 ± 10.9624.80 ± 5.47Tic-tac-toe96.31 ± 0.5282.35 ± 1.3015.71 ± 4.650.18 ± 0.013.00 ± 3.101.62 ± 2.200.69 ± 1.576.34 ± 2.175.45 ± 2.6266.37 ± 5.27Titanic83.80 ± 1.8271.83 ± 3.9071.99 ± 3.0070.67 ± 2.8149.24 ± 5.0148.20 ± 4.6048.20 ± 4.6073.76 ± 4.9573.97 ± 6.5751.21 ± 4.63Trains84.82 ± 15.4073.34 ± 94.6651.94 ± 84.0576.67 ± 77.4673.33 ± 94.6755.00 ± 88.5655.00 ± 88.5650.95 ± 67.2949.70 ± 68.53183.33 ± 0.00Transfusion96.33 ± 1.5680.83 ± 5.9683.64 ± 3.4187.89 ± 11.1068.12 ± 7.9174.38 ± 8.4377.33 ± 10.2681.45 ± 4.2181.29 ± 5.4665.18 ± 4.59Trial68.74 ± 3.5320.60 ± 7.260.00 ± 0.000.84 ± 1.751.92 ± 1.851.37 ± 1.451.37 ± 1.452.16 ± 1.921.78 ± 1.940.00 ± 0.00Turkiye-student-evaluation93.92 ± 0.3427.54 ± 2.760.06 ± 0.1317.88 ± 2.938.37 ± 0.976.93 ± 1.106.93 ± 1.100.20 ± 0.020.14 ± 0.020.06 ± 0.13Unbalanced95.88 ± 1.76389.07 ± 168.3295.69 ± 0.5587.80 ± 59.7547.45 ± 8.2656.16 ± 18.1563.68 ± 22.7488.33 ± 22.7382.28 ± 28.3747.45 ± 8.26Urbanlandcover80.42 ± 3.3423.92 ± 10.7925.59 ± 7.5230.66 ± 11.8293.85 ± 2.2693.85 ± 2.2693.85 ± 2.2627.55 ± 10.2227.18 ± 10.3757.61 ± 16.50Userknowledgemodeling75.33 ± 5.1830.86 ± 5.6911.70 ± 4.6328.66 ± 14.0831.26 ± 9.0120.64 ± 6.0120.09 ± 5.5012.98 ± 4.3911.14 ± 5.4720.65 ± 11.01Vehicle77.45 ± 1.6675.41 ± 3.5137.74 ± 5.7440.51 ± 5.9492.71 ± 3.3891.61 ± 4.0991.61 ± 4.0927.03 ± 4.0026.45 ± 5.3764.16 ± 6.72Vertebral-column-2classes78.84 ± 9.0750.23 ± 15.7347.01 ± 14.0241.81 ± 11.5533.18 ± 12.1735.39 ± 14.2534.65 ± 13.0341.47 ± 9.6740.32 ± 9.7459.72 ± 17.53Vertebral-column-3classes66.41 ± 4.1033.87 ± 5.6532.10 ± 9.0434.85 ± 7.6925.81 ± 9.4324.27 ± 11.1725.30 ± 10.7331.61 ± 5.3730.66 ± 5.1039.75 ± 11.17Veteran92.97 ± 1.9375.26 ± 12.8580.96 ± 8.6795.26 ± 21.2070.42 ± 1.8870.42 ± 1.8870.42 ± 1.8893.54 ± 29.3081.84 ± 28.6863.59 ± 17.95Vowel80.68 ± 1.0551.58 ± 3.7621.88 ± 5.271.99 ± 0.9016.44 ± 2.869.78 ± 2.217.78 ± 2.2812.32 ± 3.3710.10 ± 2.5874.78 ± 4.63Wall-following48.03 ± 1.1571.46 ± 1.430.60 ± 0.3917.92 ± 1.8316.60 ± 2.1314.19 ± 2.3913.06 ± 1.9620.34 ± 2.1719.91 ± 2.6236.77 ± 2.15Waveform-noise82.77 ± 0.9430.52 ± 2.1738.30 ± 1.8239.61 ± 1.9020.79 ± 2.2721.93 ± 1.9222.65 ± 2.1224.73 ± 2.3525.51 ± 2.0369.42 ± 4.12Waveform75.61 ± 0.9129.23 ± 1.8538.13 ± 1.9534.70 ± 3.0220.37 ± 2.0421.51 ± 2.0721.81 ± 2.1524.51 ± 1.7625.52 ± 1.8771.20 ± 2.46Wbc21.48 ± 3.025.64 ± 3.1319.31 ± 4.1710.08 ± 4.615.15 ± 3.475.15 ± 3.474.83 ± 3.819.33 ± 3.058.55 ± 4.0419.64 ± 6.41Wdbc52.63 ± 4.7214.94 ± 8.8815.44 ± 8.539.03 ± 3.9979.67 ± 1.2879.67 ± 1.2879.67 ± 1.287.46 ± 3.608.46 ± 4.4521.79 ± 6.79Weathernominal99.31 ± 34.0789.36 ± 34.0379.58 ± 76.74105.12 ± 59.8655.00 ± 59.8680.00 ± 82.3355.00 ± 83.1755.18 ± 81.5955.09 ± 82.12115.00 ± 97.33Weathernumeric117.85 ± 31.2094.85 ± 27.9451.25 ± 72.2853.86 ± 72.3155.00 ± 59.86100.00 ± 97.18100.00 ± 97.1857.19 ± 82.3358.08 ± 82.85115.00 ± 97.33Website-phishingdata77.13 ± 1.0437.13 ± 3.1522.20 ± 3.0124.98 ± 3.4225.55 ± 2.2624.63 ± 2.1322.00 ± 3.6622.88 ± 3.3221.51 ± 3.9432.53 ± 2.92Wholesalecustomersdata52.14 ± 4.4127.19 ± 6.3430.44 ± 6.4327.98 ± 10.9373.76 ± 1.6673.76 ± 1.6673.76 ± 1.6624.95 ± 5.7124.87 ± 5.8421.82 ± 8.40Wifi-localization53.31 ± 0.963.08 ± 0.754.59 ± 0.682.48 ± 1.1827.93 ± 3.3226.07 ± 3.4326.07 ± 3.433.69 ± 0.483.36 ± 0.7028.00 ± 5.94Wilt98.25 ± 1.77169.09 ± 9.2121.81 ± 4.4250.33 ± 5.7351.14 ± 1.2951.14 ± 1.2951.14 ± 1.2926.92 ± 4.6622.69 ± 3.5754.17 ± 1.88Wine-quality-red85.83 ± 2.0182.11 ± 3.2163.71 ± 3.9255.01 ± 4.2157.83 ± 3.8257.24 ± 4.1157.05 ± 4.1477.23 ± 3.5475.38 ± 3.2170.46 ± 4.77Wine-quality-white90.26 ± 0.4089.15 ± 0.9665.18 ± 3.2051.32 ± 3.7063.63 ± 3.3862.36 ± 3.6562.00 ± 3.9082.93 ± 1.4482.53 ± 1.3880.28 ± 3.17Wine52.96 ± 3.135.09 ± 7.0211.00 ± 7.849.36 ± 6.111.68 ± 3.552.58 ± 4.162.58 ± 4.165.66 ± 4.985.43 ± 5.1134.99 ± 14.01Yamilnaduelectricty92.30 ± 0.69100.00 ± 0.0092.08 ± 0.8983.42 ± 1.3898.78 ± 0.5898.61 ± 0.5998.74 ± 0.6499.98 ± 0.0499.98 ± 0.0597.94 ± 1.18Yeast91.42 ± 0.6167.16 ± 2.4665.36 ± 4.0061.75 ± 3.0551.13 ± 5.2651.04 ± 5.4650.87 ± 5.8065.48 ± 2.4065.15 ± 2.5377.12 ± 4.38Youtobe-kabita-preprocessing92.32 ± 0.3686.08 ± 0.8583.77 ± 1.3083.17 ± 1.3873.12 ± 2.7674.40 ± 2.5675.21 ± 2.4687.94 ± 0.6587.78 ± 0.6578.90 ± 2.34Youtobe-nisha-preprocessing91.64 ± 0.2685.67 ± 0.8481.03 ± 0.8780.28 ± 1.9769.48 ± 2.4870.90 ± 2.4571.38 ± 2.6086.17 ± 0.6786.08 ± 0.9580.24 ± 1.53Z-alizadehsani95.90 ± 1.2448.74 ± 14.1157.45 ± 18.0253.44 ± 16.6569.98 ± 2.6769.98 ± 2.6769.98 ± 2.6742.10 ± 17.8543.58 ± 15.4471.56 ± 12.76Zoo65.90 ± 3.255.23 ± 8.3610.06 ± 11.098.68 ± 6.547.54 ± 10.517.54 ± 10.517.54 ± 10.518.97 ± 7.187.92 ± 7.0734.76 ± 13.50Average rae (rank)79.08 (10)60.74 (9)44.76 (3)45.24 (4)49.04 (7)47.95 (6)47.48 (5)43.61 (2)43.27 (1)56.74 (8)Average rae std (rank)3.21 (1)10.91 (7)9.45 (5)11.66 (9)7.55 (2)8.53 (3)8.75 (4)10.86 (6)11.51 (8)11.75 (10)Table 11
The detailed experimental results on root relative squared error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone87.04 ± 1.4598.65 ± 3.4896.11 ± 1.73112.29 ± 3.33100.03 ± 3.7199.50 ± 3.5699.58 ± 3.3881.78 ± 1.9382.19 ± 2.46108.24 ± 2.48Absenteeism-at-work64.13 ± 1.2965.75 ± 7.935.26 ± 9.6381.19 ± 7.4578.51 ± 8.0378.51 ± 8.0378.51 ± 8.0329.02 ± 6.2529.45 ± 8.6143.21 ± 8.16Acute-inflammation49.79 ± 4.9130.75 ± 6.750.00 ± 0.001.68 ± 0.080.00 ± 0.000.00 ± 0.000.00 ± 0.001.23 ± 0.110.89 ± 0.0989.41 ± 19.34Acute-nephritis44.00 ± 2.7428.44 ± 26.940.00 ± 0.001.69 ± 0.080.00 ± 0.000.00 ± 0.000.00 ± 0.001.23 ± 0.140.98 ± 0.1644.83 ± 39.70Adult94.87 ± 0.8994.07 ± 7.0388.25 ± 6.56108.54 ± 8.9495.11 ± 11.8694.77 ± 11.6494.93 ± 11.8089.31 ± 8.0990.37 ± 7.98103.82 ± 3.43Aggregation41.47 ± 7.375.51 ± 3.225.39 ± 8.692.73 ± 5.411.82 ± 5.753.62 ± 7.643.62 ± 7.6416.58 ± 4.5515.24 ± 6.30101.51 ± 3.69Algerianforest67.39 ± 5.5938.32 ± 28.1332.55 ± 26.7666.75 ± 19.67129.31 ± 2.58124.52 ± 6.88124.52 ± 6.8829.20 ± 20.2723.61 ± 23.0918.48 ± 30.00Annealing92.46 ± 0.55110.20 ± 10.3437.23 ± 13.8971.37 ± 8.0973.64 ± 10.2364.64 ± 9.7362.34 ± 8.3858.54 ± 14.2857.72 ± 12.3990.27 ± 0.06Arrhythmia97.62 ± 0.51105.27 ± 9.7095.99 ± 10.56115.41 ± 4.38106.37 ± 3.39100.94 ± 5.15102.18 ± 6.1189.64 ± 8.21101.99 ± 11.41109.41 ± 3.31Au1-100099.16 ± 0.1897.22 ± 2.1597.74 ± 9.49116.84 ± 8.88116.17 ± 0.26116.17 ± 0.26115.48 ± 1.85121.39 ± 7.93116.95 ± 8.29116.17 ± 0.26Au4-250095.57 ± 0.6998.30 ± 2.7693.63 ± 8.56113.00 ± 7.26116.52 ± 4.28116.52 ± 4.28116.52 ± 4.28101.91 ± 5.90102.40 ± 6.97127.86 ± 5.57Au6-1000100.19 ± 0.35103.39 ± 0.83130.38 ± 3.17141.35 ± 3.10133.03 ± 0.02133.03 ± 0.02133.03 ± 0.02129.97 ± 2.01131.94 ± 3.22132.76 ± 1.94Au6-250-drift-au6-cd1-500100.42 ± 0.60104.58 ± 1.76130.17 ± 3.00139.11 ± 3.50135.09 ± 0.52135.09 ± 0.52135.09 ± 0.52128.72 ± 1.87128.09 ± 3.59132.84 ± 3.07Au6-cd1-400100.02 ± 0.56107.06 ± 3.95116.33 ± 6.32139.16 ± 6.89131.99 ± 0.50131.99 ± 0.50131.99 ± 0.50124.44 ± 5.63125.69 ± 4.62128.15 ± 6.26Au7-300-drift-au7-cpd1-80099.03 ± 0.6397.68 ± 1.41114.95 ± 4.82130.95 ± 4.15134.79 ± 1.52135.47 ± 1.81135.47 ± 1.81106.21 ± 3.72106.22 ± 3.32137.99 ± 2.84Au7-70098.90 ± 1.3698.55 ± 2.70111.03 ± 4.59138.48 ± 6.11137.25 ± 3.13138.19 ± 2.55138.19 ± 2.55113.58 ± 3.03111.08 ± 3.93128.82 ± 4.47Au7-cpd1-50099.46 ± 0.8598.56 ± 2.77102.46 ± 6.33128.08 ± 5.92128.48 ± 0.87128.06 ± 1.63128.06 ± 1.63115.19 ± 4.86115.27 ± 6.42126.30 ± 5.00Audiology-std97.30 ± 0.3771.56 ± 13.3966.74 ± 15.4972.36 ± 17.4992.29 ± 10.1985.55 ± 15.0581.75 ± 12.9955.26 ± 10.0458.45 ± 7.30110.81 ± 2.16Audit-risk62.32 ± 3.3245.95 ± 9.602.31 ± 7.3228.16 ± 11.6420.84 ± 15.3617.56 ± 15.9915.22 ± 16.7431.35 ± 11.0632.12 ± 10.840.00 ± 0.00Autism-adolescent-data79.76 ± 5.6621.72 ± 14.920.00 ± 0.0055.68 ± 30.3025.41 ± 32.8131.66 ± 33.3825.41 ± 32.8147.83 ± 37.0247.60 ± 37.800.00 ± 0.00Autism-adult-data76.53 ± 2.9827.93 ± 13.510.00 ± 0.0047.57 ± 19.0411.90 ± 15.686.49 ± 13.939.17 ± 15.071.85 ± 1.121.61 ± 1.080.00 ± 0.00Autism-child-data81.09 ± 2.3520.96 ± 7.070.00 ± 0.0066.42 ± 11.513.72 ± 11.750.00 ± 0.000.00 ± 0.006.57 ± 7.917.57 ± 8.330.00 ± 0.00Autos79.44 ± 4.0093.69 ± 15.4959.87 ± 12.1674.84 ± 18.73130.14 ± 4.27129.13 ± 5.18129.13 ± 5.1869.30 ± 10.5569.54 ± 10.2298.15 ± 12.45Avila55.95 ± 0.61113.05 ± 2.0036.89 ± 3.6179.05 ± 4.3791.07 ± 3.0387.94 ± 2.7385.79 ± 3.4681.95 ± 1.6581.87 ± 2.5285.67 ± 3.79Balance-scale78.97 ± 2.1764.09 ± 1.7784.72 ± 6.5374.91 ± 9.1857.92 ± 4.5750.23 ± 3.0647.21 ± 5.0146.13 ± 7.3347.42 ± 7.76123.73 ± 6.26Balloons84.28 ± 22.19100.00 ± 0.00101.11 ± 32.9873.52 ± 19.1673.13 ± 77.5945.07 ± 73.0145.07 ± 73.0175.07 ± 65.8573.43 ± 68.31132.51 ± 76.43Bank96.18 ± 0.62111.16 ± 4.1497.70 ± 3.91116.66 ± 5.44101.26 ± 3.03100.51 ± 2.8099.77 ± 5.3492.83 ± 4.1594.47 ± 6.13105.87 ± 2.83Blood97.90 ± 1.24100.92 ± 5.3593.54 ± 3.96124.81 ± 9.96108.82 ± 5.05107.53 ± 4.02108.89 ± 3.5492.25 ± 2.8792.58 ± 3.13114.18 ± 4.07Breast-cancer-wisc-diag58.60 ± 4.8749.18 ± 21.8848.81 ± 21.0140.40 ± 10.1727.81 ± 17.5625.83 ± 16.1824.22 ± 13.5535.55 ± 11.2234.82 ± 15.5667.21 ± 12.49Breast-cancer-wisc-prog98.67 ± 2.27122.29 ± 24.41111.32 ± 19.13120.18 ± 22.65105.85 ± 15.90107.68 ± 24.75108.63 ± 25.97109.19 ± 20.51111.40 ± 23.50127.77 ± 17.95Breast-cancer-wisc42.39 ± 7.5341.10 ± 9.6949.02 ± 14.5440.44 ± 18.9931.30 ± 17.8432.10 ± 18.2335.28 ± 15.2839.94 ± 20.1438.95 ± 15.3554.13 ± 18.22Breast-cancer94.83 ± 2.4399.22 ± 10.73101.11 ± 7.07117.59 ± 16.06111.32 ± 11.38112.77 ± 11.87115.11 ± 10.81104.46 ± 11.90110.64 ± 7.47118.69 ± 9.24Breast-tissue76.84 ± 8.0177.80 ± 20.8379.52 ± 23.2175.89 ± 27.9298.27 ± 20.2984.92 ± 24.4878.96 ± 33.8975.31 ± 11.3277.58 ± 13.99104.08 ± 11.32Bupa96.09 ± 2.82103.16 ± 7.94109.46 ± 13.07124.65 ± 8.26129.90 ± 3.37129.43 ± 3.63129.43 ± 3.6394.47 ± 8.3694.72 ± 8.45136.60 ± 11.34Caesarian93.60 ± 11.3596.05 ± 22.1399.08 ± 10.67116.36 ± 24.92135.09 ± 8.43122.67 ± 20.60127.78 ± 26.66122.23 ± 31.46121.16 ± 27.44142.18 ± 31.33Car95.36 ± 0.7969.09 ± 2.6129.29 ± 7.4736.24 ± 6.0132.85 ± 8.1727.62 ± 8.9426.08 ± 7.7443.50 ± 5.2944.30 ± 5.80114.50 ± 0.15Cardiotocography-10classes84.03 ± 0.6275.38 ± 3.8660.30 ± 4.2470.89 ± 4.9366.78 ± 3.7764.57 ± 4.9363.32 ± 3.9058.39 ± 5.0760.51 ± 4.16111.71 ± 2.42Cardiotocography-3classes89.05 ± 1.3994.05 ± 9.5359.47 ± 10.7265.38 ± 7.5069.32 ± 7.4865.19 ± 8.8064.76 ± 7.3659.43 ± 4.4658.51 ± 8.59100.16 ± 8.65Cervical-cancer84.43 ± 6.4651.34 ± 37.8467.07 ± 48.2157.33 ± 48.43118.53 ± 2.39111.60 ± 14.93111.60 ± 14.9336.13 ± 34.4836.27 ± 35.10101.32 ± 19.29Chemicalcomposionofceramic50.06 ± 4.870.00 ± 0.007.07 ± 22.362.46 ± 0.01147.37 ± 3.13147.37 ± 3.13147.37 ± 3.131.52 ± 1.091.15 ± 0.900.00 ± 0.00Chess-krvk96.95 ± 0.2195.51 ± 0.6292.34 ± 3.10105.32 ± 3.35109.87 ± 2.65107.60 ± 2.33105.98 ± 3.0788.64 ± 1.2990.21 ± 1.38128.99 ± 1.82Chess-krvkp95.07 ± 0.2463.94 ± 3.4614.61 ± 7.4546.19 ± 4.4621.81 ± 7.5016.25 ± 8.2817.13 ± 6.0014.65 ± 6.5314.17 ± 7.25115.92 ± 2.50Congressional-voting99.08 ± 0.5698.72 ± 8.37100.02 ± 4.89102.46 ± 10.65127.09 ± 6.41127.74 ± 8.38128.44 ± 9.28100.83 ± 7.17100.21 ± 9.10124.89 ± 4.38Conn-bench-sonar-mines-rocks91.67 ± 2.69105.49 ± 14.07103.66 ± 12.8270.39 ± 20.5177.67 ± 18.9766.81 ± 28.7362.39 ± 28.4976.31 ± 27.5872.57 ± 27.11119.98 ± 18.01Conn-bench-vowel-deterding75.28 ± 0.7271.22 ± 4.9364.24 ± 9.748.49 ± 10.2935.40 ± 6.5720.36 ± 11.8613.93 ± 12.4252.47 ± 6.1457.37 ± 6.61119.12 ± 4.56Connect-499.57 ± 0.06109.71 ± 2.9594.21 ± 4.89122.65 ± 5.94116.17 ± 0.57112.39 ± 2.25109.60 ± 4.18108.75 ± 5.03106.76 ± 4.24115.97 ± 0.29Connectionist91.28 ± 2.65106.31 ± 19.3198.82 ± 14.6769.96 ± 16.79123.85 ± 13.85107.55 ± 25.6198.53 ± 37.5472.27 ± 22.0072.77 ± 21.46121.69 ± 11.57Contrac97.07 ± 0.6398.84 ± 3.76101.01 ± 3.41130.99 ± 4.40118.62 ± 2.87118.74 ± 4.60119.53 ± 4.9793.08 ± 2.3893.39 ± 2.68126.84 ± 2.43Covid-1987.72 ± 14.6179.48 ± 43.8673.28 ± 73.0887.99 ± 54.3082.96 ± 72.6891.62 ± 83.9075.86 ± 84.9270.16 ± 68.2469.60 ± 71.2240.14 ± 65.67Credit-approval85.23 ± 2.4187.36 ± 7.0771.92 ± 8.6383.63 ± 15.0275.69 ± 14.7576.80 ± 12.6577.99 ± 12.3271.42 ± 7.8974.32 ± 8.9375.63 ± 12.80Crowdsource78.25 ± 1.1378.56 ± 5.3865.54 ± 4.8843.75 ± 4.47100.86 ± 2.14100.86 ± 2.14100.86 ± 2.1451.09 ± 6.5151.84 ± 7.8394.05 ± 4.77Crx84.30 ± 2.5087.46 ± 6.0866.22 ± 8.1686.43 ± 12.22133.68 ± 5.46132.53 ± 6.48130.46 ± 7.9277.27 ± 10.2474.64 ± 6.9575.63 ± 12.80Cryother69.03 ± 11.0661.61 ± 31.4740.21 ± 30.2552.56 ± 36.3077.05 ± 35.7774.27 ± 35.3174.27 ± 35.3155.57 ± 26.2764.64 ± 24.7584.20 ± 23.42Cylinder-bands94.25 ± 1.70109.94 ± 11.74102.49 ± 12.31112.91 ± 13.07100.60 ± 7.8593.26 ± 9.8188.51 ± 7.1598.44 ± 10.0397.40 ± 9.04118.22 ± 7.65Dbworld-bodies97.96 ± 0.7491.88 ± 39.7872.99 ± 50.38124.94 ± 15.83134.97 ± 7.40134.97 ± 7.40118.84 ± 21.59//56.43 ± 50.38Dbworld-bodies-stemmed97.80 ± 0.8390.04 ± 36.8255.89 ± 44.18115.89 ± 24.62134.97 ± 7.40127.54 ± 14.01100.12 ± 24.08//88.13 ± 53.62Dbworld-subjects98.03 ± 0.7455.45 ± 29.6789.11 ± 19.4484.40 ± 30.41134.97 ± 7.40134.97 ± 7.40134.97 ± 7.4049.62 ± 40.3050.30 ± 45.60120.97 ± 20.46Dbworld-subjects-stemmed98.04 ± 0.9354.72 ± 31.8478.89 ± 33.7774.88 ± 28.64134.97 ± 7.40134.97 ± 7.40134.97 ± 7.4052.27 ± 39.3354.64 ± 39.86124.42 ± 15.79Dermatology75.32 ± 0.6618.33 ± 14.1625.26 ± 16.2728.11 ± 19.8318.90 ± 16.8216.26 ± 17.5616.01 ± 17.8219.29 ± 8.8119.56 ± 9.41112.15 ± 2.54Diabetes90.33 ± 4.0487.05 ± 8.5093.05 ± 10.72114.11 ± 9.22123.93 ± 0.35123.93 ± 0.35123.93 ± 0.3588.21 ± 5.9188.85 ± 7.35111.61 ± 10.35Diabetic94.35 ± 1.52130.35 ± 3.28102.47 ± 6.98124.28 ± 7.54129.33 ± 7.61127.28 ± 9.96127.18 ± 9.4386.96 ± 7.1387.10 ± 7.01136.76 ± 8.48Divorce30.00 ± 11.7119.40 ± 25.0534.83 ± 28.2617.58 ± 22.3819.40 ± 25.0519.40 ± 25.0519.40 ± 25.0516.16 ± 20.7316.27 ± 21.0832.64 ± 30.09Dota2train99.85 ± 0.08104.85 ± 3.87119.95 ± 7.33123.48 ± 5.37137.75 ± 0.47136.25 ± 5.32137.84 ± 4.80130.90 ± 14.23128.88 ± 16.59133.68 ± 5.46Dow-jones-index93.85 ± 2.66110.18 ± 6.5092.93 ± 6.89134.37 ± 9.24138.58 ± 0.30138.58 ± 0.30138.58 ± 0.30105.45 ± 6.32107.80 ± 5.42131.99 ± 4.61Dry-bean-dataset40.16 ± 1.3646.24 ± 3.3039.11 ± 2.9736.00 ± 3.5996.74 ± 3.4696.74 ± 3.4696.74 ± 3.4637.71 ± 3.5638.09 ± 3.0687.48 ± 2.65Early-stage-diabetes-data-upload80.52 ± 2.3664.82 ± 9.5438.85 ± 12.4121.90 ± 19.2744.74 ± 22.0142.04 ± 21.7637.91 ± 23.8730.79 ± 14.3932.21 ± 16.8485.87 ± 10.59Echocardiogram91.63 ± 5.2085.00 ± 32.6989.39 ± 24.07105.49 ± 24.2485.62 ± 32.1486.34 ± 36.7686.34 ± 36.7689.68 ± 23.0588.82 ± 26.1678.84 ± 17.81Ecoli79.44 ± 1.5753.34 ± 10.9159.99 ± 16.7171.62 ± 12.1459.84 ± 10.8159.94 ± 10.2358.76 ± 8.7656.03 ± 7.7958.51 ± 7.7794.81 ± 10.09Eegeyesate92.77 ± 0.51140.59 ± 12.3475.92 ± 2.3081.12 ± 5.42134.69 ± 0.04134.63 ± 0.10134.63 ± 0.10100.04 ± 2.91100.40 ± 3.71122.94 ± 1.94Electrical74.59 ± 7.3328.67 ± 13.760.00 ± 0.0057.61 ± 24.1086.54 ± 18.2186.90 ± 16.6584.50 ± 15.9117.48 ± 14.9516.37 ± 13.973.84 ± 12.15Energy-y167.33 ± 1.1166.60 ± 4.2725.99 ± 7.1687.63 ± 7.3260.16 ± 3.7356.88 ± 4.7956.45 ± 8.8253.37 ± 3.0253.97 ± 4.1070.36 ± 4.26Energy-y262.98 ± 1.8259.28 ± 5.4949.15 ± 6.7386.64 ± 6.1057.05 ± 5.9154.18 ± 4.5352.63 ± 4.4346.47 ± 5.1845.91 ± 6.7360.36 ± 8.18Extentionofz-alizadehsani93.28 ± 1.0950.69 ± 15.964.91 ± 12.1865.58 ± 17.91118.38 ± 1.28118.38 ± 1.28118.38 ± 1.2819.52 ± 19.6419.47 ± 20.0179.75 ± 16.62Fertility99.64 ± 2.50103.14 ± 8.97110.92 ± 23.57116.09 ± 51.45105.82 ± 2.0095.33 ± 33.5589.19 ± 48.8487.80 ± 34.7990.72 ± 44.89105.82 ± 2.00First-order97.73 ± 1.16278.38 ± 9.700.00 ± 0.0021.63 ± 15.46105.14 ± 0.2071.37 ± 13.0045.13 ± 19.146.20 ± 9.735.63 ± 9.67103.00 ± 10.21Flags93.17 ± 1.73103.09 ± 6.7493.28 ± 12.85114.36 ± 9.25108.36 ± 10.53106.34 ± 11.56107.13 ± 14.89103.62 ± 13.05101.17 ± 9.90103.01 ± 8.41Foresttypes65.19 ± 3.2329.20 ± 21.7128.54 ± 23.9429.29 ± 19.57136.89 ± 2.30134.86 ± 3.38134.86 ± 3.3824.10 ± 16.4524.09 ± 17.2567.11 ± 17.23Garments-worker-productivity95.85 ± 0.53105.03 ± 2.13104.73 ± 4.85139.38 ± 3.22130.58 ± 3.01129.99 ± 3.04129.23 ± 2.5999.04 ± 3.33100.34 ± 3.44133.66 ± 3.68Gender-name-dataset100.32 ± 0.82124.83 ± 2.80100.10 ± 0.1599.11 ± 2.26122.30 ± 2.35122.12 ± 3.46122.02 ± 3.10100.56 ± 0.65100.86 ± 0.87128.32 ± 1.70Gesture-a1-raw54.41 ± 2.0978.70 ± 4.6148.63 ± 5.5632.45 ± 5.22133.07 ± 0.23133.07 ± 0.23133.07 ± 0.2347.38 ± 6.3047.42 ± 2.8530.33 ± 6.80Gesture-a1-va383.35 ± 1.72104.11 ± 4.6195.81 ± 6.9087.08 ± 4.64133.19 ± 0.13133.19 ± 0.13133.19 ± 0.1382.05 ± 2.5884.43 ± 4.15106.40 ± 2.71Gesture-a2-raw55.12 ± 1.0986.90 ± 5.3953.71 ± 7.0437.23 ± 12.58132.00 ± 0.25132.00 ± 0.25132.00 ± 0.2549.13 ± 4.4948.19 ± 6.0937.91 ± 9.21Gesture-a2-va387.85 ± 2.04117.67 ± 10.25105.65 ± 3.6695.63 ± 6.11132.16 ± 0.24132.16 ± 0.24132.16 ± 0.2492.42 ± 4.1894.44 ± 5.19114.52 ± 5.11Gesture-a3-raw47.60 ± 1.7391.15 ± 3.2841.91 ± 3.4431.34 ± 3.97131.25 ± 0.15131.25 ± 0.15131.25 ± 0.1548.29 ± 2.9349.41 ± 5.2335.29 ± 4.54Gesture-a3-va385.41 ± 0.92111.26 ± 3.8777.48 ± 6.0351.91 ± 4.77131.35 ± 0.20131.35 ± 0.20131.35 ± 0.2083.48 ± 3.5382.86 ± 2.97114.95 ± 2.80Gesture-b1-raw51.48 ± 2.62108.43 ± 4.3943.24 ± 7.9236.13 ± 10.17129.61 ± 0.72129.41 ± 0.81129.41 ± 0.8151.59 ± 6.4348.95 ± 4.2848.07 ± 6.62Gesture-b1-va387.25 ± 2.47128.32 ± 7.1587.85 ± 5.8550.33 ± 7.39129.95 ± 0.31129.95 ± 0.31129.95 ± 0.3187.35 ± 3.9686.40 ± 6.04125.54 ± 4.73Gesture-b3-raw57.69 ± 2.8093.30 ± 4.3946.77 ± 8.6034.08 ± 3.49132.38 ± 0.32132.38 ± 0.32132.38 ± 0.3250.93 ± 9.1252.43 ± 8.7333.85 ± 8.71Gesture-b3-va393.98 ± 1.41115.66 ± 3.94101.47 ± 4.6175.58 ± 4.98132.48 ± 0.15132.48 ± 0.15132.48 ± 0.1589.32 ± 4.8094.06 ± 5.10125.20 ± 5.78Gesture-c1-raw57.89 ± 2.5186.46 ± 3.7050.93 ± 5.1737.44 ± 5.75137.26 ± 0.36137.26 ± 0.36137.26 ± 0.3650.18 ± 7.0951.27 ± 8.2838.92 ± 8.27Gesture-c1-va388.63 ± 2.11102.77 ± 4.2298.51 ± 4.2086.33 ± 5.11137.48 ± 0.28137.48 ± 0.28137.48 ± 0.2885.44 ± 4.2989.37 ± 2.79121.76 ± 4.82Gesture-c3-raw56.15 ± 2.1290.95 ± 5.4853.79 ± 8.1341.72 ± 7.02136.91 ± 0.21136.91 ± 0.21136.91 ± 0.2154.09 ± 5.4859.42 ± 3.4637.86 ± 4.86Gesture-c3-va391.31 ± 1.49110.23 ± 2.36102.38 ± 4.9697.90 ± 6.11136.95 ± 0.18136.95 ± 0.18136.95 ± 0.1891.04 ± 3.8792.53 ± 5.78121.37 ± 2.94Glass82.19 ± 3.64102.03 ± 7.8987.40 ± 12.5287.15 ± 14.2085.22 ± 10.4686.50 ± 12.8688.00 ± 12.6080.26 ± 10.1879.87 ± 6.72107.44 ± 10.85Go-track-tracks73.67 ± 8.9776.28 ± 12.0060.07 ± 27.3048.88 ± 36.66103.74 ± 22.81104.08 ± 21.33104.08 ± 21.3364.23 ± 18.6064.32 ± 17.6495.42 ± 28.22Haberman-survival97.97 ± 2.8998.54 ± 7.5898.53 ± 3.60128.48 ± 14.74118.32 ± 10.07121.39 ± 5.88121.39 ± 5.8897.51 ± 6.1997.41 ± 6.44117.85 ± 5.87Hayes-roth73.71 ± 3.9677.38 ± 4.1659.28 ± 10.7746.15 ± 10.1960.55 ± 24.5375.26 ± 13.6476.81 ± 13.7073.09 ± 20.4572.97 ± 21.55131.15 ± 6.96Hcc-data95.40 ± 2.24109.37 ± 15.30110.61 ± 12.20122.62 ± 13.45127.07 ± 2.32127.07 ± 2.32127.07 ± 2.32111.77 ± 22.45114.42 ± 17.38111.74 ± 24.68Hcvdat85.09 ± 2.3678.59 ± 16.6876.01 ± 11.3787.36 ± 7.19104.58 ± 0.23104.58 ± 0.23104.58 ± 0.2364.82 ± 15.3671.08 ± 13.0496.31 ± 6.54Heart-cleveland92.89 ± 2.2994.58 ± 10.47110.50 ± 10.30117.14 ± 8.26114.18 ± 10.92112.30 ± 11.70114.03 ± 11.93105.31 ± 8.01106.11 ± 8.97120.91 ± 8.17Heart-hungarian81.71 ± 5.5381.94 ± 15.6085.06 ± 14.9596.81 ± 17.9187.03 ± 19.2785.86 ± 16.9183.96 ± 18.0486.49 ± 16.0787.92 ± 11.6492.81 ± 23.08Heart-switzerland98.89 ± 3.07106.19 ± 8.26118.09 ± 14.35133.59 ± 13.68130.40 ± 6.78129.62 ± 6.35127.68 ± 7.19111.78 ± 13.06111.48 ± 11.46137.20 ± 13.31Heart-va98.75 ± 1.41106.74 ± 8.88121.36 ± 6.10128.15 ± 7.90130.27 ± 9.54132.80 ± 8.65134.71 ± 9.31119.46 ± 7.43121.70 ± 8.19137.11 ± 9.38Heart-failure-clinical-records-dataset94.23 ± 2.0487.18 ± 8.4888.56 ± 11.78124.71 ± 13.39121.30 ± 1.49121.30 ± 1.49121.30 ± 1.49102.12 ± 11.4096.17 ± 18.4879.54 ± 16.67Hepatitis93.31 ± 3.5291.15 ± 25.26102.30 ± 29.81101.25 ± 17.5399.62 ± 19.3186.24 ± 47.2986.24 ± 47.2995.75 ± 28.21102.81 ± 31.56125.06 ± 18.48Hill-valley102.00 ± 2.42139.88 ± 9.03100.30 ± 0.67138.51 ± 5.04138.07 ± 9.33137.99 ± 10.62136.58 ± 10.0696.94 ± 3.6297.73 ± 3.97144.77 ± 6.83Hiv1625data58.63 ± 3.9951.93 ± 8.5164.10 ± 7.2364.25 ± 5.3165.88 ± 8.7060.27 ± 9.6058.62 ± 10.8947.93 ± 11.5257.93 ± 12.01107.86 ± 4.69Hiv746data60.56 ± 5.0152.90 ± 9.4673.66 ± 8.0167.27 ± 8.0363.74 ± 12.4959.78 ± 10.0659.09 ± 11.4550.21 ± 9.0351.82 ± 11.7586.83 ± 11.35Horse-colic89.18 ± 2.6297.44 ± 13.2670.82 ± 16.0198.76 ± 16.2682.97 ± 13.3880.16 ± 14.4578.96 ± 16.1990.78 ± 10.4987.85 ± 19.7986.54 ± 12.50Htru55.10 ± 3.6178.10 ± 3.5747.16 ± 5.9158.46 ± 3.99103.17 ± 0.83101.20 ± 1.13101.76 ± 1.0744.44 ± 4.8244.93 ± 4.7953.58 ± 4.38Hypothyroid93.63 ± 1.1572.24 ± 6.7419.79 ± 9.48107.70 ± 9.64100.96 ± 1.8899.96 ± 4.87100.12 ± 5.1181.22 ± 19.0487.35 ± 21.4071.52 ± 8.75Ibeacon-rssi-labeled97.31 ± 0.22107.16 ± 1.4794.52 ± 2.0389.22 ± 2.04115.45 ± 1.48113.31 ± 2.53112.23 ± 2.8391.45 ± 1.5391.23 ± 1.74139.03 ± 1.26Ilpd-indian-liver96.22 ± 2.81144.80 ± 8.99103.60 ± 6.40130.56 ± 11.37118.37 ± 0.65119.76 ± 3.59119.36 ± 5.1493.07 ± 3.1293.10 ± 3.39128.80 ± 6.22Image-segmentation65.23 ± 2.8669.31 ± 9.0345.94 ± 22.0353.06 ± 10.0354.39 ± 6.8153.90 ± 10.2554.96 ± 10.0139.77 ± 8.7642.53 ± 9.9197.18 ± 11.10Immunotherapy93.17 ± 5.7997.62 ± 21.8591.37 ± 30.22124.97 ± 54.46111.97 ± 4.45111.97 ± 4.45111.97 ± 4.4591.06 ± 29.5895.88 ± 31.6389.90 ± 37.42Impensdata83.51 ± 2.9370.69 ± 8.24100.00 ± 0.0090.49 ± 9.22108.93 ± 0.21108.93 ± 0.21108.93 ± 0.2180.25 ± 9.6485.97 ± 11.92108.35 ± 6.83In-vehicle-coupon-recommendation97.92 ± 0.1295.44 ± 1.6592.34 ± 1.19112.19 ± 2.23112.59 ± 2.38111.63 ± 2.38110.86 ± 2.41104.27 ± 1.75103.05 ± 2.88126.84 ± 1.42Indian95.31 ± 2.20144.46 ± 9.23105.80 ± 8.41131.74 ± 12.56116.21 ± 3.38117.66 ± 3.01117.66 ± 3.0194.53 ± 4.1594.71 ± 3.40129.12 ± 6.10Ionosphere62.23 ± 4.8181.13 ± 12.7859.31 ± 12.1375.60 ± 13.6548.69 ± 10.2843.50 ± 18.9339.50 ± 17.9060.43 ± 6.3459.15 ± 11.1088.58 ± 22.85Iris59.06 ± 8.7230.32 ± 17.4822.67 ± 26.1926.88 ± 26.9122.36 ± 23.5724.21 ± 26.1122.36 ± 23.5720.87 ± 18.6821.64 ± 19.9540.57 ± 28.95Jain45.29 ± 13.7141.53 ± 12.815.23 ± 16.550.68 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.0039.92 ± 11.0440.90 ± 10.5744.01 ± 25.18Jsbach-chorals-harmony81.57 ± 0.7950.79 ± 3.8454.21 ± 4.5645.20 ± 4.4760.15 ± 4.8854.68 ± 4.0751.89 ± 6.4845.78 ± 5.8050.58 ± 8.1462.55 ± 4.68Knowledge85.87 ± 4.1859.22 ± 16.3034.90 ± 22.5181.75 ± 13.8864.23 ± 21.3247.97 ± 29.5738.60 ± 29.5739.56 ± 17.9441.39 ± 16.9067.95 ± 17.68Lasvegastripadvisorreviews100.32 ± 0.25111.50 ± 3.13121.51 ± 3.80139.33 ± 3.30142.23 ± 2.77143.67 ± 3.93141.71 ± 4.01128.63 ± 4.12129.31 ± 4.45141.56 ± 2.71Leaf86.01 ± 1.1768.95 ± 10.6683.50 ± 8.86135.31 ± 2.22130.96 ± 3.21125.23 ± 4.31124.00 ± 4.6385.62 ± 6.0188.69 ± 5.82125.49 ± 3.94Led-display88.07 ± 0.4266.81 ± 3.9770.14 ± 4.3368.69 ± 4.8978.85 ± 5.7979.17 ± 5.3079.60 ± 5.0968.26 ± 4.3968.70 ± 4.07133.70 ± 1.05Lenses82.99 ± 20.68103.60 ± 12.8660.43 ± 78.7851.16 ± 53.7853.59 ± 72.6855.38 ± 78.0255.38 ± 78.0275.56 ± 66.8179.26 ± 70.3693.86 ± 84.38Letter90.04 ± 0.1272.31 ± 0.6547.09 ± 1.3029.17 ± 1.0532.64 ± 0.8028.83 ± 1.0726.93 ± 0.8456.10 ± 1.9158.02 ± 1.50131.19 ± 0.29Libras82.82 ± 2.2585.98 ± 11.7974.79 ± 12.3953.22 ± 10.1563.27 ± 6.8455.56 ± 8.5352.31 ± 8.1058.94 ± 6.8558.09 ± 6.86129.89 ± 5.00Low-res-spect79.46 ± 1.6276.21 ± 7.5768.59 ± 7.6069.06 ± 8.7256.34 ± 6.6255.72 ± 7.3953.10 ± 7.3043.58 ± 7.7246.68 ± 8.0088.79 ± 8.96Lung-cancer93.99 ± 4.8896.56 ± 31.00117.28 ± 29.32103.21 ± 56.95110.93 ± 42.92103.54 ± 41.58112.79 ± 45.74114.07 ± 24.85114.63 ± 25.64124.19 ± 22.45Lymphography87.03 ± 2.3470.67 ± 17.6291.72 ± 19.3688.84 ± 36.0767.15 ± 29.9072.22 ± 22.0277.76 ± 18.3075.23 ± 17.1175.45 ± 19.2294.63 ± 15.89Magic84.07 ± 1.78101.85 ± 4.2478.74 ± 4.8293.84 ± 5.4781.20 ± 5.8880.57 ± 4.7180.60 ± 3.8671.56 ± 5.3674.11 ± 5.40110.22 ± 8.88Mammographic79.84 ± 2.6182.69 ± 7.1272.33 ± 4.8294.63 ± 9.6883.20 ± 5.2684.13 ± 6.1983.62 ± 6.4173.77 ± 4.4775.48 ± 6.2385.30 ± 2.93Miniboone82.25 ± 1.18189.93 ± 1.9381.34 ± 7.1891.38 ± 4.3288.45 ± 7.4285.36 ± 6.4483.07 ± 5.9575.70 ± 4.3476.58 ± 4.2896.24 ± 4.74Molec-biol-promoter89.39 ± 4.0254.41 ± 28.4796.63 ± 20.34101.51 ± 23.1179.01 ± 27.8671.19 ± 34.5271.19 ± 34.5284.66 ± 19.6085.23 ± 19.65108.30 ± 20.19Molec-biol-splice96.61 ± 0.2143.89 ± 4.6847.20 ± 6.16109.44 ± 3.1564.55 ± 5.1264.20 ± 4.4165.59 ± 3.2964.73 ± 4.9465.33 ± 4.39109.16 ± 3.42Monks-179.68 ± 6.3585.58 ± 16.0018.01 ± 25.67107.12 ± 19.5377.61 ± 43.6772.46 ± 41.0276.16 ± 32.3043.91 ± 43.4536.89 ± 47.79101.45 ± 20.94Monks-2100.90 ± 2.75103.08 ± 4.5790.54 ± 20.46126.56 ± 16.70133.06 ± 10.97127.05 ± 21.06121.08 ± 19.5992.51 ± 20.2490.88 ± 13.73132.43 ± 7.25Monks-378.01 ± 7.2364.86 ± 11.4040.50 ± 31.3294.43 ± 30.5451.83 ± 37.0857.14 ± 33.6257.14 ± 33.6264.71 ± 32.5155.86 ± 24.1593.71 ± 8.47Mushroom67.75 ± 1.0065.00 ± 3.450.00 ± 0.000.03 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.29 ± 0.040.22 ± 0.0423.99 ± 4.20Musk-182.69 ± 2.5098.13 ± 14.2175.59 ± 17.2277.25 ± 12.7859.52 ± 15.2354.34 ± 11.7849.30 ± 12.2641.77 ± 10.9342.38 ± 10.08122.88 ± 14.88Musk-279.29 ± 2.02102.70 ± 5.9356.26 ± 8.9053.27 ± 6.3953.67 ± 8.4943.30 ± 8.5637.44 ± 8.1326.11 ± 9.6126.31 ± 10.9887.81 ± 5.55Newdiagnosis50.72 ± 3.0830.73 ± 7.330.00 ± 0.000.18 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.001.51 ± 0.171.10 ± 0.1094.98 ± 16.20Nursery89.23 ± 0.1650.15 ± 1.5210.57 ± 3.7547.61 ± 1.5322.67 ± 1.4219.67 ± 1.5417.60 ± 1.6027.33 ± 4.6331.85 ± 5.4792.21 ± 1.63Obesitydataset-raw-and-data-sinthetic80.81 ± 0.4472.54 ± 2.0436.38 ± 5.5964.50 ± 4.4748.72 ± 5.5543.66 ± 5.8441.54 ± 6.1333.04 ± 7.2034.19 ± 4.0787.58 ± 4.75Obs-network-dataset-2-aug2752.23 ± 2.2486.99 ± 8.342.58 ± 8.1514.70 ± 8.1626.00 ± 4.0926.00 ± 4.0926.00 ± 4.0926.01 ± 7.8121.90 ± 6.7352.27 ± 6.35Occupancy-data35.36 ± 3.1341.97 ± 5.2022.80 ± 6.3718.52 ± 5.6990.59 ± 4.8387.73 ± 5.6687.73 ± 5.6626.40 ± 5.8325.76 ± 5.8322.91 ± 6.78Occupancy-data235.32 ± 2.0746.60 ± 3.3217.76 ± 2.8117.59 ± 3.6599.54 ± 1.4992.95 ± 1.8892.95 ± 1.8817.73 ± 3.3417.88 ± 2.6419.26 ± 2.59Occupancy-data328.48 ± 3.3633.40 ± 4.7716.77 ± 1.6817.60 ± 3.81101.09 ± 1.5896.21 ± 1.8996.17 ± 1.8721.45 ± 3.1621.58 ± 2.9419.14 ± 3.05Old85.14 ± 0.5742.84 ± 3.7839.55 ± 6.2826.61 ± 5.3444.47 ± 4.3243.75 ± 5.8642.45 ± 5.5230.94 ± 5.8030.90 ± 6.9867.54 ± 4.81Online-shoppers-intention93.64 ± 0.25107.81 ± 3.4882.63 ± 2.45118.80 ± 1.82108.85 ± 0.19109.02 ± 0.45109.22 ± 0.5478.72 ± 2.3280.45 ± 4.5494.78 ± 4.01Oocytes-merluccius-nucleus-4d92.39 ± 2.57126.11 ± 8.3493.80 ± 4.53111.77 ± 7.42101.17 ± 6.6994.63 ± 5.9692.41 ± 7.3380.60 ± 6.8683.56 ± 8.49122.17 ± 9.10Oocytes-merluccius-states-2f63.53 ± 4.9079.46 ± 9.8161.47 ± 11.0261.45 ± 9.5259.47 ± 9.3058.27 ± 7.3555.66 ± 7.2953.41 ± 5.9754.99 ± 7.3788.04 ± 11.26Oocytes-trisopterus-nucleus-2f94.00 ± 2.91130.24 ± 8.2598.36 ± 10.84101.83 ± 11.8487.53 ± 8.5281.11 ± 8.9082.39 ± 6.9572.86 ± 8.5978.50 ± 8.77128.61 ± 9.79Oocytes-trisopterus-states-5b71.13 ± 6.1295.75 ± 8.1364.57 ± 8.7958.95 ± 12.7556.09 ± 12.2854.47 ± 10.4253.04 ± 9.1946.27 ± 9.3645.98 ± 10.0489.06 ± 6.25Optdigits89.77 ± 0.1542.09 ± 2.7043.53 ± 3.3717.13 ± 4.0077.23 ± 2.7874.66 ± 3.1374.66 ± 3.1318.30 ± 3.4316.68 ± 3.29127.34 ± 1.08Optical89.27 ± 0.2241.47 ± 3.0545.83 ± 2.9618.20 ± 3.4617.43 ± 3.3216.17 ± 4.4216.45 ± 3.9717.67 ± 3.1518.78 ± 3.43126.75 ± 1.13Ozone99.38 ± 0.13318.38 ± 16.15119.39 ± 9.97131.98 ± 8.63101.46 ± 0.10101.46 ± 0.10101.46 ± 0.10108.58 ± 14.16103.74 ± 12.33106.04 ± 6.86Page-blocks73.74 ± 2.7795.47 ± 6.4854.63 ± 3.5264.31 ± 5.0363.14 ± 6.3360.92 ± 6.8560.60 ± 6.9056.36 ± 6.0957.36 ± 4.9381.05 ± 3.97Parkingbirmingham49.50 ± 2.7956.99 ± 1.850.00 ± 0.0022.73 ± 2.9992.47 ± 4.1989.49 ± 4.5289.49 ± 4.5246.52 ± 1.7843.82 ± 2.020.00 ± 0.00Parkinsons80.16 ± 7.40124.32 ± 25.4598.43 ± 12.5936.91 ± 24.5978.74 ± 21.5368.60 ± 30.3962.99 ± 28.2763.95 ± 25.0760.75 ± 32.6183.06 ± 25.05Pasture85.52 ± 8.6170.69 ± 49.9262.84 ± 47.6170.45 ± 55.58145.90 ± 3.85145.90 ± 3.85145.90 ± 3.8563.21 ± 50.8065.25 ± 51.6691.28 ± 53.06Pbc87.75 ± 3.4688.39 ± 13.9984.26 ± 14.91129.68 ± 13.55127.52 ± 0.80127.52 ± 0.80127.52 ± 0.80101.73 ± 9.6998.13 ± 6.58106.95 ± 18.06Pen72.38 ± 0.3853.31 ± 2.2526.98 ± 1.9311.80 ± 1.59138.66 ± 0.69137.88 ± 0.77137.88 ± 0.7732.79 ± 1.9033.46 ± 1.55116.48 ± 1.48Pendigits71.98 ± 0.4049.64 ± 2.7128.47 ± 2.7911.05 ± 2.408.97 ± 2.478.09 ± 3.118.23 ± 3.2130.62 ± 1.9331.40 ± 1.82115.72 ± 1.90Pharynx101.25 ± 2.56108.18 ± 9.07100.00 ± 0.04139.58 ± 22.58115.08 ± 16.84119.68 ± 22.09126.61 ± 20.52115.62 ± 9.70119.82 ± 28.27201.32 ± 11.50Phishingwebsites87.95 ± 0.2146.34 ± 2.2237.25 ± 2.0628.94 ± 2.6547.16 ± 2.2544.97 ± 2.2343.78 ± 2.1132.02 ± 2.0632.09 ± 1.8067.07 ± 1.70Pima90.47 ± 3.5987.25 ± 8.4293.05 ± 10.72114.11 ± 9.22103.18 ± 8.64104.30 ± 8.58104.66 ± 7.2388.21 ± 5.9188.85 ± 7.35111.61 ± 10.35Pittsburg-bridges-rel-l89.50 ± 5.0889.37 ± 18.3097.38 ± 18.6089.14 ± 38.62102.52 ± 20.85101.05 ± 20.8092.90 ± 21.2099.94 ± 19.1096.28 ± 20.1696.57 ± 19.22Pittsburg-bridges-span89.67 ± 4.4084.73 ± 15.5294.81 ± 16.21113.97 ± 26.05104.74 ± 21.91105.75 ± 26.40105.75 ± 26.4091.20 ± 12.1191.85 ± 17.20120.35 ± 16.75Pittsburg-bridges-t-or-d95.87 ± 7.3088.10 ± 22.04106.33 ± 31.57106.73 ± 46.7698.57 ± 35.8788.59 ± 50.2984.28 ± 46.4183.77 ± 58.0789.37 ± 63.4498.71 ± 59.34Pittsburg-bridges-type92.48 ± 4.2988.86 ± 10.4191.56 ± 10.94101.39 ± 15.88109.49 ± 15.6198.66 ± 23.8798.12 ± 19.2990.60 ± 19.3295.59 ± 19.39107.61 ± 7.39Pittsburg-bridgesmaterial80.30 ± 5.5980.47 ± 16.7368.43 ± 21.1781.75 ± 38.2680.98 ± 15.6583.67 ± 14.8882.05 ± 34.0079.77 ± 19.5386.96 ± 19.6178.92 ± 11.95Planning100.69 ± 2.28109.01 ± 8.59100.00 ± 0.02127.40 ± 17.80118.23 ± 1.26120.18 ± 11.79128.81 ± 13.19124.95 ± 13.76133.30 ± 19.79135.77 ± 15.55Plant-margin95.45 ± 0.1253.64 ± 4.4597.15 ± 4.5970.29 ± 3.6758.80 ± 4.0355.28 ± 5.1654.59 ± 5.1850.54 ± 3.1751.14 ± 3.91136.54 ± 1.61Plant-shape93.38 ± 0.1294.55 ± 3.0598.45 ± 3.2881.84 ± 3.95101.54 ± 1.6193.41 ± 3.3989.74 ± 3.7973.32 ± 4.1774.65 ± 3.18135.89 ± 1.20Plant-texture95.78 ± 0.1570.64 ± 4.5993.55 ± 3.2661.49 ± 4.3457.93 ± 4.2553.86 ± 4.3052.90 ± 4.5051.11 ± 2.2252.36 ± 2.09139.65 ± 0.65Poker-hand-training-true100.00 ± 0.01100.01 ± 0.04112.92 ± 2.44136.31 ± 1.12120.55 ± 1.45122.21 ± 1.34123.81 ± 1.5899.37 ± 0.59100.33 ± 1.10132.74 ± 0.01Post-operative100.05 ± 3.10107.98 ± 7.4999.93 ± 0.31135.74 ± 14.49116.16 ± 4.71120.44 ± 8.71124.20 ± 12.12120.66 ± 17.21128.98 ± 20.86120.44 ± 8.71Primary-tumor95.96 ± 0.6792.08 ± 8.2799.11 ± 5.53114.86 ± 7.80109.30 ± 11.30111.22 ± 10.70112.01 ± 12.02102.94 ± 7.17104.08 ± 7.15127.72 ± 2.50Qsarbioconcentration100.25 ± 0.61102.46 ± 2.87103.67 ± 8.00142.45 ± 10.81115.78 ± 0.99119.26 ± 3.67125.03 ± 6.00108.72 ± 6.30110.13 ± 5.28120.21 ± 6.76Qsarbiodegradation89.51 ± 1.69100.09 ± 6.6080.51 ± 7.3685.38 ± 5.9179.18 ± 7.3178.18 ± 6.3979.99 ± 7.2369.56 ± 5.1170.77 ± 6.78101.76 ± 8.68Qualitative-bankruptcy32.35 ± 3.735.51 ± 10.5817.29 ± 22.811.33 ± 2.389.79 ± 21.049.79 ± 21.044.03 ± 12.744.33 ± 11.384.13 ± 11.3113.86 ± 22.80Ringnorm74.09 ± 2.0919.74 ± 2.9856.68 ± 0.7099.62 ± 3.2023.46 ± 3.6524.51 ± 3.3825.43 ± 3.7753.40 ± 4.6553.76 ± 2.92119.27 ± 1.63Risk-factors-cervical-cancer94.94 ± 1.15126.72 ± 13.0577.04 ± 17.5295.64 ± 19.78103.33 ± 0.35104.24 ± 5.0899.45 ± 11.4680.68 ± 15.4687.01 ± 18.1077.93 ± 21.08Robotnavigation55.25 ± 1.48107.44 ± 1.8810.13 ± 3.4359.46 ± 3.1354.79 ± 3.1551.52 ± 2.8649.12 ± 2.3955.42 ± 4.2855.26 ± 6.0486.18 ± 3.25Sapfile96.14 ± 1.48100.24 ± 9.39115.93 ± 15.89129.08 ± 8.60125.60 ± 11.63124.81 ± 8.63124.58 ± 10.95116.65 ± 10.66117.63 ± 13.94133.77 ± 14.89Sat60.61 ± 0.6069.58 ± 2.1756.20 ± 2.0348.23 ± 2.01135.02 ± 0.49133.93 ± 0.43133.93 ± 0.4346.77 ± 3.4449.11 ± 2.2899.66 ± 1.62Satelite60.65 ± 0.6169.61 ± 2.1655.92 ± 1.5948.11 ± 2.83135.03 ± 0.52133.86 ± 0.65133.86 ± 0.6546.50 ± 1.0448.25 ± 2.2899.38 ± 2.04Scadi87.09 ± 1.4361.49 ± 23.5962.84 ± 26.0266.13 ± 26.9779.45 ± 15.6070.12 ± 31.3361.52 ± 37.6267.24 ± 19.9167.29 ± 20.46104.98 ± 13.00Schillingdata84.94 ± 1.1262.10 ± 2.63100.00 ± 0.0091.64 ± 3.69107.37 ± 0.0997.69 ± 4.5485.26 ± 3.4171.97 ± 9.5285.21 ± 12.03107.98 ± 1.36Seeds58.92 ± 5.9344.58 ± 18.3645.28 ± 20.7740.64 ± 6.5538.07 ± 21.3038.07 ± 21.3038.07 ± 21.3030.45 ± 10.3129.24 ± 9.5770.34 ± 19.38Segment59.50 ± 1.2165.40 ± 2.8025.83 ± 4.3425.64 ± 2.8489.82 ± 3.7187.68 ± 3.1787.74 ± 3.2527.25 ± 3.4825.77 ± 2.6091.78 ± 3.52Seismic-bumps99.02 ± 0.35138.24 ± 9.17100.18 ± 0.57131.00 ± 9.20103.46 ± 0.01103.46 ± 0.01103.46 ± 0.01100.79 ± 3.96102.92 ± 4.94106.98 ± 4.05Semeion96.86 ± 0.0753.86 ± 5.5170.01 ± 3.4542.40 ± 4.2131.05 ± 3.7729.08 ± 2.4829.31 ± 2.5835.85 ± 4.0635.19 ± 4.68133.68 ± 0.39Setapprocesst195.41 ± 5.81130.37 ± 39.71120.89 ± 28.33123.25 ± 19.31128.77 ± 13.55118.98 ± 21.01122.56 ± 17.65116.55 ± 45.33116.16 ± 44.9698.22 ± 61.05Setapprocesst1099.97 ± 4.17154.43 ± 21.86131.27 ± 23.89127.99 ± 32.23122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22133.00 ± 42.66133.55 ± 36.13129.59 ± 14.46Setapprocesst1199.41 ± 4.33134.13 ± 42.31116.67 ± 34.31132.74 ± 23.21122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22121.08 ± 25.91114.69 ± 28.33137.85 ± 16.93Setapprocesst298.71 ± 4.31114.63 ± 26.5090.85 ± 49.65117.85 ± 48.89122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22118.79 ± 31.46113.52 ± 32.8577.95 ± 49.39Setapprocesst399.05 ± 4.05122.25 ± 23.50126.61 ± 30.35119.20 ± 27.49122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22117.27 ± 24.34118.37 ± 16.90143.18 ± 26.50Setapprocesst4100.78 ± 1.89146.77 ± 47.89141.95 ± 29.31133.29 ± 34.37116.99 ± 7.71116.99 ± 7.71116.99 ± 7.71136.51 ± 38.59136.70 ± 30.51113.48 ± 23.96Setapprocesst597.92 ± 5.06150.96 ± 26.50134.24 ± 31.44129.29 ± 27.69124.00 ± 9.11125.95 ± 11.41125.95 ± 11.41121.69 ± 19.30120.29 ± 18.53113.68 ± 55.27Setapprocesst698.36 ± 2.96114.55 ± 30.62116.30 ± 25.27122.44 ± 27.05122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22117.72 ± 37.58119.04 ± 33.16130.04 ± 35.03Setapprocesst798.65 ± 4.5598.83 ± 35.72118.41 ± 49.74121.67 ± 25.15122.05 ± 5.22122.05 ± 5.22122.05 ± 5.2297.17 ± 40.6298.87 ± 40.41143.69 ± 23.95Setapprocesst897.57 ± 3.64113.36 ± 28.07103.27 ± 30.86120.07 ± 43.69122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22109.43 ± 40.65107.74 ± 43.23150.24 ± 22.05Setapprocesst998.89 ± 3.20117.62 ± 26.75110.54 ± 31.35133.62 ± 14.38122.05 ± 5.22122.05 ± 5.22122.05 ± 5.2297.88 ± 43.95108.83 ± 43.44147.47 ± 28.50Shillbiddingdataset68.39 ± 0.5855.61 ± 4.2819.11 ± 3.7028.07 ± 5.1421.45 ± 4.7520.85 ± 5.6718.40 ± 5.3715.59 ± 4.5015.05 ± 7.0753.18 ± 5.20Shuttle-landing-control105.16 ± 98.60166.55 ± 227.7862.34 ± 15.6584.84 ± 117.7210.69 ± 33.8010.69 ± 33.8010.69 ± 33.80102.61 ± 199.52106.67 ± 212.3590.69 ± 251.48Somervillehappinesssurvey201597.70 ± 6.04103.40 ± 12.6096.69 ± 20.43111.71 ± 21.10125.77 ± 16.48128.01 ± 15.36127.58 ± 18.64117.91 ± 19.08118.43 ± 20.09114.71 ± 26.82Sonar91.62 ± 2.77105.49 ± 14.10103.66 ± 12.8270.39 ± 20.51116.68 ± 9.43108.18 ± 16.25101.43 ± 18.6574.27 ± 29.1974.33 ± 29.17121.44 ± 18.90Soybean89.33 ± 0.6636.08 ± 16.5447.74 ± 8.7149.93 ± 10.1044.37 ± 13.9439.92 ± 11.5941.48 ± 12.2639.47 ± 11.3039.60 ± 9.78123.24 ± 2.12Spambase85.27 ± 0.7593.02 ± 3.9052.34 ± 4.6562.03 ± 3.7552.49 ± 3.6952.01 ± 4.3452.40 ± 3.6654.04 ± 3.5559.05 ± 14.7495.13 ± 4.38Speaker-accent91.78 ± 1.8394.38 ± 11.1388.13 ± 14.9372.21 ± 16.93109.16 ± 4.98103.82 ± 5.74103.82 ± 5.7467.13 ± 9.3472.38 ± 10.63119.12 ± 5.82Spect95.44 ± 7.39102.14 ± 40.33103.21 ± 21.86133.24 ± 23.52124.73 ± 22.08125.35 ± 24.79128.37 ± 18.79128.96 ± 32.08128.60 ± 34.38110.24 ± 19.55Spectf94.23 ± 3.5991.65 ± 27.1498.75 ± 23.79108.64 ± 30.80113.48 ± 11.61113.48 ± 11.6190.20 ± 38.9296.18 ± 37.1196.91 ± 27.49106.06 ± 16.70Statlog-australian-credit98.96 ± 0.48107.03 ± 5.64108.70 ± 11.95142.02 ± 5.56121.92 ± 3.24127.38 ± 11.14128.23 ± 10.04113.34 ± 6.96115.26 ± 7.19125.81 ± 11.36Statlog-german-credit97.75 ± 0.3191.18 ± 9.26101.98 ± 10.77123.48 ± 7.63106.29 ± 9.64103.65 ± 8.60103.51 ± 10.34111.43 ± 6.66108.76 ± 7.25117.63 ± 4.61Statlog-heart82.60 ± 3.3072.29 ± 14.0491.43 ± 18.0797.58 ± 22.2982.16 ± 12.9188.01 ± 19.8588.40 ± 22.0085.72 ± 11.7983.24 ± 17.25107.56 ± 12.07Statlog-image57.69 ± 1.1665.61 ± 2.8025.80 ± 4.3625.64 ± 2.8436.41 ± 2.8533.47 ± 3.4932.41 ± 3.3726.62 ± 3.5727.11 ± 4.3692.01 ± 3.11Statlog-landsat60.00 ± 1.2069.60 ± 3.8656.29 ± 3.3449.16 ± 4.4750.91 ± 3.9149.15 ± 3.5048.94 ± 4.1547.79 ± 2.4148.96 ± 4.4198.91 ± 2.10Statlog-shuttle75.97 ± 0.5255.93 ± 2.893.96 ± 2.305.32 ± 2.3711.79 ± 1.0810.62 ± 1.2710.45 ± 1.1812.91 ± 0.9712.44 ± 1.4454.45 ± 1.53Statlog-vehicle82.35 ± 1.47105.79 ± 3.2977.33 ± 7.4989.18 ± 7.1078.56 ± 6.6872.42 ± 4.8672.01 ± 4.4160.55 ± 4.4663.31 ± 6.52113.97 ± 6.04Steel-plates81.03 ± 1.1195.55 ± 4.1373.83 ± 4.8984.63 ± 4.1079.20 ± 4.5576.86 ± 3.7676.98 ± 4.7975.69 ± 4.3176.97 ± 4.56115.36 ± 4.37Synthetic-control71.91 ± 1.5433.55 ± 10.4543.08 ± 8.0926.76 ± 11.358.00 ± 10.336.00 ± 9.666.00 ± 9.6610.17 ± 6.459.86 ± 6.70101.50 ± 4.44Teaching94.76 ± 3.9196.13 ± 6.2498.63 ± 12.16101.23 ± 17.58113.25 ± 18.91106.11 ± 17.95105.23 ± 17.4994.76 ± 8.6297.42 ± 6.28126.23 ± 13.02Thoraricsurgery99.45 ± 0.57109.78 ± 18.45102.63 ± 4.26132.67 ± 17.50108.40 ± 0.00110.64 ± 3.62110.64 ± 3.62116.89 ± 12.79114.78 ± 17.81114.29 ± 5.75Thyroid68.47 ± 12.0226.24 ± 23.7748.57 ± 29.1827.35 ± 21.99101.08 ± 10.2998.28 ± 9.9898.28 ± 9.9829.59 ± 19.6129.79 ± 20.1453.58 ± 35.33Thyroid-train93.14 ± 1.5370.78 ± 7.6114.42 ± 13.66105.06 ± 8.8683.03 ± 6.0577.92 ± 5.4572.39 ± 6.2361.02 ± 11.3267.36 ± 7.9570.09 ± 8.43Tic-tac-toe96.73 ± 0.3990.24 ± 1.4147.77 ± 9.330.19 ± 0.0119.64 ± 15.4412.30 ± 13.805.20 ± 11.1628.86 ± 7.0026.86 ± 10.01115.14 ± 4.59Titanic88.41 ± 1.9189.75 ± 4.3084.88 ± 3.2884.21 ± 2.8699.13 ± 5.0198.09 ± 4.6298.09 ± 4.6286.21 ± 3.7886.83 ± 3.79101.12 ± 4.52Trains84.82 ± 15.4073.34 ± 94.6651.94 ± 84.0576.67 ± 77.4673.33 ± 94.6755.00 ± 88.5655.00 ± 88.5650.95 ± 67.2949.70 ± 68.53183.33 ± 0.00Transfusion97.89 ± 1.28101.29 ± 5.7693.54 ± 3.96123.86 ± 10.03116.61 ± 6.74121.88 ± 6.71124.21 ± 8.0092.25 ± 2.8792.58 ± 3.13114.18 ± 4.07Trial71.22 ± 2.9961.56 ± 12.590.00 ± 0.003.58 ± 10.4115.05 ± 13.2811.72 ± 12.3611.72 ± 12.3612.98 ± 13.2510.62 ± 13.250.00 ± 0.00Turkiye-student-evaluation94.38 ± 0.2765.14 ± 3.641.60 ± 3.3759.50 ± 4.9740.85 ± 2.3937.12 ± 3.0537.12 ± 3.050.40 ± 0.050.29 ± 0.041.60 ± 3.37Unbalanced99.74 ± 0.37235.69 ± 70.8799.98 ± 0.04124.01 ± 60.40100.62 ± 0.20108.95 ± 17.51115.38 ± 19.81111.48 ± 11.91113.44 ± 19.54100.62 ± 0.20Urbanlandcover82.34 ± 3.5766.22 ± 17.1965.92 ± 14.0868.91 ± 17.55136.97 ± 1.66136.97 ± 1.66136.97 ± 1.6660.94 ± 18.9161.47 ± 19.17106.26 ± 15.89Userknowledgemodeling84.76 ± 4.0654.15 ± 11.9036.41 ± 14.4670.68 ± 20.8178.40 ± 11.2163.64 ± 9.4462.85 ± 8.7539.38 ± 12.6136.40 ± 17.0461.92 ± 18.43Vehicle81.91 ± 1.54106.66 ± 3.7477.14 ± 7.6489.18 ± 7.10136.15 ± 2.49135.32 ± 3.04135.32 ± 3.0460.31 ± 5.7762.30 ± 8.02113.14 ± 6.02Vertebral-column-2classes85.52 ± 8.1090.62 ± 18.7178.76 ± 15.0489.82 ± 12.5179.79 ± 17.5582.11 ± 19.5281.50 ± 18.1168.63 ± 12.6768.66 ± 13.18108.06 ± 17.67Vertebral-column-3classes78.56 ± 3.9362.09 ± 8.6968.73 ± 9.5881.65 ± 9.5770.69 ± 13.7168.08 ± 15.7169.92 ± 13.9157.42 ± 7.7257.94 ± 7.7088.43 ± 12.33Veteran95.55 ± 1.99102.19 ± 14.1099.16 ± 13.68136.01 ± 16.45118.84 ± 0.89118.84 ± 0.89118.84 ± 0.89119.03 ± 25.78112.21 ± 25.61111.85 ± 15.81Vowel84.58 ± 1.1272.78 ± 4.9859.07 ± 7.839.27 ± 8.7757.14 ± 5.1843.98 ± 4.8539.05 ± 5.8136.65 ± 7.5833.50 ± 6.25122.24 ± 3.70Wall-following55.39 ± 1.48107.47 ± 1.499.26 ± 4.2559.65 ± 3.1057.51 ± 3.6853.11 ± 4.4250.98 ± 3.8257.18 ± 3.4656.64 ± 4.8585.73 ± 2.46Waveform-noise86.71 ± 1.0171.40 ± 3.0483.64 ± 2.5588.91 ± 2.1664.39 ± 3.6166.17 ± 2.9767.24 ± 3.2366.72 ± 3.8068.45 ± 3.21117.79 ± 3.50Waveform82.03 ± 0.7069.94 ± 2.7381.03 ± 2.7783.15 ± 3.6563.76 ± 3.2165.52 ± 3.1665.98 ± 3.2564.30 ± 3.0767.02 ± 2.96119.31 ± 2.07Wbc37.11 ± 6.9929.48 ± 13.0249.19 ± 5.0738.62 ± 12.7728.23 ± 16.1528.23 ± 16.1525.70 ± 18.4839.65 ± 7.4337.50 ± 9.7862.02 ± 9.71Wdbc58.62 ± 4.9349.24 ± 21.8648.65 ± 21.0340.40 ± 10.17126.24 ± 0.73126.24 ± 0.73126.24 ± 0.7333.32 ± 11.3435.81 ± 14.0065.33 ± 10.09Weathernominal104.96 ± 33.7191.92 ± 35.5189.15 ± 79.96112.45 ± 59.8969.39 ± 73.2694.39 ± 88.1165.79 ± 91.0965.58 ± 89.1365.63 ± 89.79125.02 ± 96.40Weathernumeric120.03 ± 26.6699.85 ± 31.3456.97 ± 76.3059.08 ± 76.8969.39 ± 73.26105.66 ± 96.79105.66 ± 96.7960.65 ± 85.0661.50 ± 85.55125.02 ± 96.40Website-phishingdata79.99 ± 1.0664.11 ± 4.2950.91 ± 5.6557.76 ± 5.7771.44 ± 3.1670.14 ± 3.0066.14 ± 5.5658.22 ± 5.1357.40 ± 6.1580.60 ± 3.65Wholesalecustomersdata63.07 ± 4.9863.19 ± 10.8561.88 ± 9.3272.69 ± 15.03121.49 ± 0.83121.49 ± 0.83121.49 ± 0.8354.15 ± 9.9054.77 ± 10.0364.87 ± 13.39Wifi-localization59.41 ± 1.2919.68 ± 4.0326.37 ± 2.7520.62 ± 5.5074.62 ± 4.5772.06 ± 4.8572.06 ± 4.8521.39 ± 2.9821.94 ± 3.1874.44 ± 8.05Wilt98.84 ± 1.18121.71 ± 6.0055.88 ± 7.46100.06 ± 5.77101.22 ± 1.27101.22 ± 1.27101.22 ± 1.2754.61 ± 11.1951.12 ± 9.33104.16 ± 1.59Wine-quality-red89.86 ± 1.7397.64 ± 3.22101.93 ± 3.86104.40 ± 4.03107.55 ± 3.49107.00 ± 3.74106.82 ± 3.7892.25 ± 3.0892.41 ± 3.62118.72 ± 3.95Wine-quality-white92.27 ± 0.45103.72 ± 1.36102.88 ± 3.21101.09 ± 3.72112.80 ± 3.01111.66 ± 3.27111.33 ± 3.5193.01 ± 1.4993.72 ± 1.18126.72 ± 2.49Wine58.31 ± 4.3419.42 ± 21.3637.09 ± 22.7732.53 ± 22.188.20 ± 17.2912.45 ± 20.0512.45 ± 20.0519.20 ± 17.0019.17 ± 17.7682.06 ± 17.14Yamilnaduelectricty97.44 ± 0.59100.01 ± 0.01115.13 ± 0.78128.98 ± 1.07140.56 ± 0.41140.44 ± 0.42140.53 ± 0.46100.05 ± 0.02100.08 ± 0.02139.95 ± 0.85Yeast93.16 ± 0.6485.84 ± 2.2596.02 ± 4.56110.39 ± 2.76101.06 ± 5.16100.97 ± 5.39100.78 ± 5.6985.35 ± 2.5886.19 ± 2.76124.22 ± 3.50Youtobe-kabita-preprocessing94.81 ± 0.39106.30 ± 0.92101.09 ± 1.73114.12 ± 1.29120.91 ± 2.29121.97 ± 2.09122.63 ± 2.0194.26 ± 0.7794.43 ± 0.79125.61 ± 1.86Youtobe-nisha-preprocessing94.07 ± 0.26102.51 ± 1.2099.08 ± 1.55112.16 ± 1.84117.86 ± 2.11119.07 ± 2.06119.47 ± 2.1893.15 ± 0.9193.46 ± 0.93126.67 ± 1.21Z-alizadehsani96.14 ± 1.0785.75 ± 15.5295.62 ± 20.20101.44 ± 15.72118.38 ± 1.28118.38 ± 1.28118.38 ± 1.2882.76 ± 19.4285.13 ± 15.70119.29 ± 10.99Zoo69.25 ± 4.0417.28 ± 26.7729.70 ± 31.0818.10 ± 20.9124.24 ± 31.9624.24 ± 31.9624.24 ± 31.9621.01 ± 21.7320.30 ± 22.4082.11 ± 16.46Average rrse (rank)83.25 (5)85.51 (6)70.59 (2)80.47 (4)90.03 (9)88.26 (8)87.19 (7)69.93 (1)70.66 (3)98.86 (10)Average rrse std (rank)3.40 (1)12.11 (5)12.26 (6)13.81 (9)9.34 (2)10.67 (3)11.056 (4)13.39 (8)13.99 (10)12.36 (7)Then, we used Friedman and ANOVA tests to compare the above 6 performance metrics of all models among 263 datasets, and the tests proved that all algorithms differed in both the distribution and the mean value at 95% confidence level (see Table5). Then, the Tukey HSD test is employed to determine which pair has significant differences, and the detailed result is presented in Tables 12–17, where the result underlined means the corresponding pair is remarkably different.Table 12
Comparison of accuracy.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB1.0J480.140.01KNN0.70.171.0SVM11.01.00.010.15SVM21.01.00.030.351.0SVM31.01.00.060.481.01.0ANN10.290.031.01.00.030.090.14ANN20.320.041.01.00.030.10.171.0OneR0.010.150.00.00.170.060.030.00.0Table 13
Comparison of kappa statistic.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB0.11J480.00.06KNN0.00.590.99SVM11.00.120.00.0SVM21.00.560.00.01.0SVM30.970.820.00.010.971.0ANN10.00.061.00.980.00.00.0ANN20.00.071.00.990.00.00.01.0OneR1.00.020.00.01.00.930.740.00.0Table 14
Comparison of root mean squared error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB1.0J480.030.01KNN1.01.00.13SVM10.540.790.00.22SVM20.830.960.00.511.0SVM30.950.990.00.711.01.0ANN10.020.011.00.10.00.00.0ANN20.040.011.00.160.00.00.01.0OneR0.00.010.00.00.590.280.140.00.0Table 15
Comparison of mean absolute error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB0.0J480.00.04KNN0.00.11.0SVM10.00.650.940.99SVM20.00.450.991.01.0SVM30.00.31.01.01.01.0ANN10.00.041.01.00.950.991.0ANN20.00.031.01.00.910.981.01.0OneR0.01.00.090.20.840.670.50.10.07Table 16
Comparison of relative absolute error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB0.0J480.00.0KNN0.00.01.0SVM10.00.00.840.94SVM20.00.00.970.991.0SVM30.00.00.991.01.01.0ANN10.00.01.01.00.710.910.97ANN20.00.01.01.00.630.860.941.0OneR0.00.930.00.00.270.110.060.00.0Table 17
Comparison of root relative squared error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB1.0J480.00.0KNN1.00.840.05SVM10.480.920.00.07SVM20.851.00.00.281.0SVM30.961.00.00.51.01.0ANN10.00.01.00.030.00.00.0ANN20.00.01.00.060.00.00.01.0OneR0.00.00.00.00.130.030.010.00.0Some findings of RN are summarized briefly as follows:(1)
Figure3 shows that the performance of RN is not significantly different from other prestigious classification algorithms.(2)
As for average accuracy, the most important performance indicator, Table5 shows that RN (73.56%) significantly outperforms OneR (67.16%) and is not statistically different from other algorithms (Figure 4(a)).(3)
For kappa statistic, RN is different from ANN1, ANN2, J48, and KNN (Figure4(b)); however, all algorithms range from 0.41 to 0.60 (except RN); therefore, they are in the same level: moderate.(4)
About root mean squared error (RMSE) and root relative squared error (RRSE), RN outperforms OneR and lags behind ANN1, ANN2, and J48 (Figures4(c) and 4(f)).(5)
On mean absolute error (MAE) and relative absolute error (RAE), RN is weaker than others (Figures4(d) and 4(e)).(6)
With regard to running time, RN works faster than ANN1, ANN2, SVM1, SVM2, and SVM3, while it works slower than the remaining algorithms (Table5).Figure 4
Tukey test results of 6 performance metrics.
(a)(b)(c)(d)(e)(f)In a word, though the proposed algorithm is simple and straightforward, it still shows the competitive performance with the above prestigious classification algorithms on core indicators.


## 4.1. Testing Tool

To evaluate the performance of the proposed algorithm, we chose Weka, a prestigious machine learning platform that gives a fair comparison among different algorithms. No doubt, Weka is one of the most popular tools to research machine learning algorithms. A number of scientists use this software to study classification problems, for example, Arora and Suman tested J48 and MLP on 5 UCI datasets [18]; Kiranmai and Laxmi classified power quality problems using Weka and studied the effect of attributes on classification accuracy [19]; Mhetre and Nagar adopted Weka to compare four classification algorithms (Naive Bayes, J48, ZeroR, and random tree) on education datasets [20]; Farhat et al. compared the performance of SVM, KNN, NB, logistic regression, decision tree, and random forest on intrusion detection data [21]; Villavicencio et al. studied J48 decision tree, random forest, SVM, KNN, and NB on the COVID-19 Symptoms and Presence dataset from Kaggle [22].It can be seen from the above research that SVM, KNN, J48, NB, and OneR are competitive methods in the classification field. However, the above research works focus on limited field or limited datasets. In this paper, we used all available data to study the performance comparison.


## 4.2. Testing Data

The test problem includes 263 UCI datasets from UCI Machine Learning Repository. Although the repository offers 466 datasets in total, 121 are too big for Weka, 20 are missing, 53 are for natural language processing, and 9 are pictures. Somehow, the rest still represent a wide range of domains and data characteristics, whose detailed description is listed in Table3. In a word, all available data in UCI Repository are used for testing.Table 3
Description of datasets.
NoDatasetExamplesAttributesClassesMissingvalueNumricvalue1Abalone417793NY2Absenteeism-at-work740202NY3Acute-inflammation12072NY4Acute-nephritis12072NY5Adult1628152NY6Aggregation78837NY7Algerianforest243142NY8Annealing798325NY9Arrhythmia45226313NY10Au1 10001000212NY11Au4-250010001013NY12Au6-10001000418NY13Au6-250-drift-au6-cd1-500750418NY14Au6-cd1-400400418NY15Au7-300-drift-au7-cpd1-8001100135NY16Au7-700700135NY17Au7-cpd1-500500135NY18Audiology-std1716018NY19Audit-risk776252YY20Autism-adolescent-data104212YN21Autism-adult-data704212YN22Autism-child-data292212YN23Autos205267YY24Avila41721112NY25Balance-scale62553NY26Balloons1652NY27Bank4521172NY28Blood74852NY29Breast-cancer-wisc-diag569312NY30Breast-cancer-wisc-prog198342NY31Breast-cancer-wisc699102NY32Breast-cancer286102NY33Breast-tissue106106NY34Bupa34572NY35Caesarean8062NN36Car172874NY37Cardiotocography-10classes21262210NY38Cardiotocography-3classes2126223NY39Cervical-cancer72202NY40Chemicalcomposionofceramic88182NY41Chess-krvk2805718NY42Chess-krvkp3196372NY43Congressional-voting435172NY44Conn-bench-sonar-mines-rocks208612NY45Conn-bench-vowel-deterding5281211NY46Connect-43377432NY47Connectionist207612NY48Contrac1473103NY49COVID-191483NN50Credit-approval690162NY51Crowdsource2109296NY52Crx690162YN53Cryother9072NY54Cylinder-bands512362NY55Dbworld-bodies6447032NN56Dbworld-bodies-stemmed6437222NN57Dbworld-subjects642432NN58Dbworld-subjects-stemmed642302NN59Dermatology366356NY60Diabetes76892NY61Diabetic1151202NY62Divorce170552NN63Dota2train9261162NN64Dow-jones-index749152YY65Dry-bean-dataset3402177NY66Early-stage-diabetes-data-upload520172NN67Echocardiogram131112NY68Ecoli33688NY69Eegeyesate14980152NY70Electrical312142NY71Energy-y176893NY72Energy-y276893NY73Extentionofz-alizadehsani303592NY74Fertility100102NY75First-order1529572NY76Flags194298NY77Foresttypes198284NY78Garments-worker-productivity1197145YY79Gender-name-dataset460232NY80Gesture-a1-raw1747205NY81Gesture-a1-va31743335NY82Gesture-a2-raw1264205NY83Gesture-a2-va31260335NY84Gesture-a3-raw1834205NY85Gesture-a3-va31830335NY86Gesture-b1-raw1073206NY87Gesture-b1-va31069335NY88Gesture-b3-raw1424205NY89Gesture-b3-va31420335NY90Gesture-c1-raw1111205NY91Gesture-c1-va31107335NY92Gesture-c3-raw1448205NY93Gesture-c3-va31444335NY94Glass214106NY95Go-track-tracks16392NY96Haberman-survival30642NY97Hayes-Roth13243NY98Hcc-data165502YN99Hcvdat615135NY100Heart-Cleveland303145NY101Heart-Hungarian294132NY102Heart-Switzerland123135NY103Heart-va200135NY104Heart-failure-clinical-records-dataset299132NY105Hepatitis155202NY106Hill-valley6061012NY107Hiv1625data162592NN108Hiv746data74692NN109Horse-colic300262NY110Htru1789892NY111Hypothyroid3772304YN112Ibeacon-rssi-labeled142014105NY113Ilpd-Indian-liver583102NY114Image-segmentation210197NY115Immunotherapy9082NY116Impensdata94792NN117In-vehicle-coupon-recommendation12684242YN118Indian583112YY119Ionosphere351342NY120Iris15053NY121Jain37232NY122Jsbach-chorals-harmony5665152NN123Knowledge17264NY124Lasvegastripadvisorreviews504197NN125Leaf3401630NY126Led-display1000810NY127Lenses2453NY128Letter200001726NY129Libras3609115NY130Low-res-spect5311019NY131Lung-cancer32573NY132Lymphography148194NY133Magic1902112NY134Mammographic96162NY135Miniboone1300512NY136Molec-biol-promoter106582NY137Molec-biol-splice3190613NY138Monks-112472NY139Monks-216972NY140Monks-312272NY141Mushroom8124222NY142Musk-14761672NY143Musk-232991672NY144Newdiagnosis12072NN145Nursery1296095NY146Obesitydataset-raw-and-data-sinthetic2111177NN147Obs-network-dataset-2-aug271075224YY148Occupancy-data266572NY149Occupancy-data2975272NY150Occupancy-data3814372NY151Old2456312NN152Online-shoppers-intention12330182NY153Oocytes-merluccius-nucleus-4d1022422NY154Oocytes-merluccius-states-2f1022263NY155Oocytes-trisopterus-nucleus-2f912262NY156Oocytes-trisopterus-states-5b912333NY157Optdigits56206510NY158Optical38236310NY159Ozone2536732NY160Page-blocks5473115NY161Parkingbirmingham3571330NY162Parkinsons195232NY163Pasture36233NY164Pbc418192YY165Pen109921710NY166Pendigits74941710NY167Pharynx195122YN168Phishingwebsites11055312NN169Pima76892NY170Pittsburg-bridges-rel-l10383NY171Pittsburg-bridges-span9283NY172Pittsburg-bridges-t-or-d10282NY173Pittsburg-bridges-type10586NY174Pittsburg-bridgesmaterial10683NY175Planning182132NY176Plant-margin160065100NY177Plant-shape160065100NY178Plant-texture159965100NY179Poker-hand-training-true250101110NY180Post-operative9093NY181Primary-tumor3301815NY182Qsarbioconcentration779122NY183Qsarbiodegradation1055422NY184Qualitative-bankruptcy25072NN185Ringnorm7400212NY186Risk-factors-cervical-cancer858362YY187Robotnavigation5456254NY188Sapfile131223NN189Sat6435376NY190Satellite6435376NY191Scadi702067NN192Schillingdata327292NN193Seeds21083NY194Segment2310207NY195Seismic-bumps2584192NY196Semeion159325710NY197Setapprocesst164852NY198Setapprocesst1074852NY199Setapprocesst1174852NY200Setapprocesst274852NY201Setapprocesst374852NY202Setapprocesst463852NY203Setapprocesst574852NY204Setapprocesst674852NY205Setapprocesst774852NY206Setapprocesst874852NY207Setapprocesst974852NY208Shillbiddingdataset632192NY209Shuttle-landing-control1572NN210Somervillehappinesssurvey201514372NN211Sonar208612NY212Soybean3073618NY213Spambase4601582NY214Speaker-accent329136NY215Spect79232NY216Spectf80452NY217Statlog-Australian-credit690152NY218Statlog-German-credit1000252NY219Statlog-heart270142NY220Statlog-image2310197NY221Statlog-landsat4435376NY222Statlog-shuttle43500107NY223Statlog-vehicle846194NY224Steel-plates1941287NY225Synthetic-control600616NY226Teaching15163NY227Thoraricsurgery470172NN228Thyroid21563NY229Thyroid-train3772223NY230Tic-tac-toe958102NY231Titanic220142NY232Trains10302NY233Transfusion74852NY234Trial776172YY235Turkiye-student-evaluation5820343NY236Unbalanced856332NY237Urbanlandcover1681489NY238Userknowledgemodeling25264NY239Vehicle846194NY240Vertebral-column-2classes31072NY241Vertebral-column-3classes31073NY242Veteran13782NY243Vowel9901411NY244Wall-following5456254NY245Waveform-noise5000413NY246Waveform5000223NY247Wbc683102NN248Wdbc569312NY249Weathernominal1452NN250Weathernumeric1452NN251Website-phishingdata1353103NN252Wholesalecustomersdata44082NY253Wifi-localization200084NY254Wilt483962NY255Wine-quality-red1599126NY256Wine-quality-white4898127NY257Wine178143NY258Yamilnaduelectricty9156420NY259Yeast1484910NY260Youtobe-kabita-preprocessing490087YY261Youtobe-nisha-preprocessing490087NY262Z-alizadehsani303562NY263Zoo101177NY


## 4.3. Method

The RN is published onhttps://github.com/tianzhaoning/RRN/releases/download/RecallNetwork/RN.zip, and we then retrieved them back to Weka on a local machine to compare with others. In all experiments, 10 runs of 10-fold cross validation are used to average the results.To illustrate the performance of the proposed method, we chose some competitive classification algorithms, such as Naive Bayes (NB), support vector machine (SVM), decision tree (J48), K-nearest neighbors (KNN), artificial neural network (ANN), and OneR (since it is also a very simple decision tree algorithm), on a bulk of benchmark data.All algorithms use default parameters supplied by Weka, for the purpose of fair play. However, we applied two more parameters on SVM and one more on ANN besides the default setting to explore the effect under different configurations.As for SVM, we took the default as the SVM1, changing the following parameters: degree, gamma, cachesize, cost, E-eps, and theP value (the value of the loss function in e-SVR). As for ANN, we took the default as ANN1, we change the learning rate and the momentum. The specific values of super-parameters are shown in Table 4.Table 4
The parameters of SVM and ANN.
DegreeGammaCacheCostE-epsP valueSVM130.54010.0010.1SVM240.65020.0020.2SVM350.76030.0010.3Learning rateMomentumANN10.30.2ANN20.40.3In the process of statistical analysis, this paper adopts the Friedman test, which is a non-parametric test method using rank to realize whether there are significant differences in multiple population distributions, and ANOVA to test the remarkable mean difference among multiple groups. If both results are yes, we then use the Tukey HSD test to make pair-wise comparisons.


## 4.4. Performance Metrics

Totally, we evaluate the classification performance with the following indicators [23, 24]:(1)
Accuracy (ACC): number of correctly predicted items divided by the total of the item to predict. It is the most important metric to measure classification performance. In this work, we use mean ACC: the average of each accuracy per dataset, which represents the average performance over all tasks.(2)
Kappa statistic (k): a measure of how much better the classification results are compared to classification labels assigned by random chance. Generally, in terms of degree of agreement, k ≤ 0 is interpreted as indicating no agreement, 0.01–0.20 as none to slight, 0.21–0.40 as fair, 0.41–0.60 as moderate, 0.61–0.80 as substantial, and 0.81–1.00 as almost perfect agreement.(3)
Root mean squared error (RMSE): the standard deviation of the residuals (prediction errors). This is another indicator of model accuracy.(4)
Mean absolute error (MAE): the average difference between the prediction result and the true value. MAE can avoid the problem of error cancellation, so it can reflect the actual prediction error.(5)
Relative absolute error (RAE): sum of the absolute value of the forecast errors divided by the sum of the absolute values of the mean errors. The RAE considers each error equally important. The better the model is, the closer its RAE is to 0.(6)
Root relative squared error (RRSE): square root of the relative squared error (RSE) where RSE means the sum of squared errors of a predictive model normalized by the sum of squared mean errors. It tells how well a model performs relative to the average of the true values.(7)
Running time: the executed time of an algorithm on data. It is an intuitive measurement of the time complexity in the real environment. In this paper, we use total time instead of running time per dataset, since Weka does not provide the detailed time on each experiment.Generally, 10 runs of 10-fold cross validation must be used to average the above results [25] with the exception of run time, which uses the total time.


## 4.5. Results

Table5 and Figure 3 show the average performance of each algorithm on all datasets. The detailed results are listed in Tables 6–11 which present the accuracy (ACC), kappa statistic (k), root mean squared error (RMSE), mean absolute error (MAE), relative absolute error (RAE), root relative squared error (RRSE), and their standard deviation of each model on each dataset, respectively.Table 5
Performance of all models among 263 datasets.
Average accuracy (%)Kappa statisticRoot mean squared errorMean absolute errorRelative absolute error (%)Root relative squared error (%)Total running time (i7, 16G)RN73.570.420.330.2779.0883.253,780sNB72.050.500.340.1960.7485.5160sJ4878.530.590.280.1644.7670.59180sKNN76.870.560.320.1645.2480.47780sSVM171.960.420.360.1749.0490.038,100sSVM272.660.440.360.1747.9588.268,100sSVM373.010.450.350.1647.4887.198,100sANN177.950.590.280.1543.6169.9334.080sANN277.840.590.280.1543.2770.6634.080sOneR67.160.400.390.1956.7498.8660sFriedman ranked testQ (95% threshold: 21.67)218.45320.03467.68555.13575.90460.46—ANOVAF (95% threshold: 1.88)8.2015.0513.1316.4829.3518.82—Figure 3
6 performance metrics of 10 models on 263 datasets.Table 6
The detailed experimental results on accuracy and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone58.87  ±  2.7957.65 ± 2.0460.69 ± 1.9757.94 ± 2.5066.63 ± 2.4766.98 ± 2.3666.94 ± 2.2565.55 ± 3.3865.62 ± 4.1360.95 ± 1.79Absenteeism-at-work98.92 ± 1.5386.08 ± 3.6199.73 ± 0.5783.65 ± 2.8884.73 ± 2.9984.73 ± 2.9984.73 ± 2.9997.70 ± 1.1196.89 ± 2.2195.27 ± 1.72Acute-inflammation100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0079.17 ± 8.10Acute-nephritis100.00 ± 0.0095.00 ± 7.03100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0091.67 ± 7.86Adult76.04 ± 0.0680.41 ± 2.4981.76 ± 3.2978.38 ± 3.5983.29 ± 4.1183.41 ± 4.1583.35 ± 4.2980.71 ± 3.2780.10 ± 3.0780.34 ± 1.30Aggregation84.64 ± 5.3899.87 ± 0.4099.62 ± 0.6199.87 ± 0.4199.87 ± 0.4199.75 ± 0.5499.75 ± 0.5499.24 ± 0.8999.24 ± 1.0759.64 ± 2.89Algerianforest89.35 ± 7.8694.67 ± 4.7395.50 ± 4.5388.10 ± 6.7058.85 ± 1.6961.73 ± 4.2861.73 ± 4.2895.92 ± 3.8596.75 ± 4.5897.15 ± 4.75Annealing76.19 ± 0.1370.43 ± 4.4596.50 ± 2.2789.35 ± 2.1388.98 ± 3.1591.48 ± 2.5492.11 ± 2.1291.11 ± 3.5790.86 ± 3.3983.71 ± 0.09Arrhythmia54.20 ± 1.0260.85 ± 7.4464.38 ± 7.0853.55 ± 3.2661.72 ± 2.5765.49 ± 3.4764.60 ± 4.2066.38 ± 5.1756.26 ± 13.1059.51 ± 2.65Au1-100074.10 ± 0.3272.80 ± 1.4077.90 ± 4.4366.70 ± 4.7274.10 ± 0.3274.10 ± 0.3274.40 ± 0.8468.80 ± 3.7971.00 ± 3.6874.10 ± 0.32Au4-250062.60 ± 6.1157.30 ± 4.3072.40 ± 5.7463.60 ± 4.3561.50 ± 2.6861.50 ± 2.6861.50 ± 2.6864.70 ± 4.8864.90 ± 4.8953.60 ± 4.27Au6-100023.70 ± 1.3418.70 ± 2.9519.40 ± 4.0313.40 ± 3.7824.00 ± 0.0024.00 ± 0.0024.00 ± 0.0014.60 ± 3.2013.30 ± 4.1424.30 ± 2.21Au6-250-drift-au6-cd1-50022.13 ± 2.4520.40 ± 4.7519.33 ± 4.3716.27 ± 4.2522.00 ± 0.7022.00 ± 0.7022.00 ± 0.7014.93 ± 2.8015.73 ± 3.3124.53 ± 3.45Au6-cd1-40028.75 ± 6.6925.75 ± 6.3537.00 ± 6.8517.75 ± 7.9527.75 ± 0.7927.75 ± 0.7927.75 ± 0.7921.00 ± 6.2620.00 ± 6.0131.75 ± 6.57Au7-300-drift-au7-cpd1-80028.64 ± 4.1234.18 ± 3.7237.91 ± 4.3532.00 ± 4.2628.36 ± 1.6527.64 ± 1.9327.64 ± 1.9333.45 ± 3.5835.36 ± 4.3024.91 ± 3.10Au7-70041.00 ± 6.3242.00 ± 5.3552.29 ± 4.0035.57 ± 5.5737.29 ± 2.8936.43 ± 2.3636.43 ± 2.3641.29 ± 5.2443.57 ± 3.7644.71 ± 3.81Au7-cpd1-50039.40 ± 2.5038.20 ± 5.9253.40 ± 4.6237.80 ± 5.6938.20 ± 1.1438.60 ± 1.6538.60 ± 1.6539.40 ± 6.4038.00 ± 5.6640.20 ± 4.85Audiology-std28.07 ± 4.6273.04 ± 10.9176.05 ± 7.4674.18 ± 11.9263.14 ± 7.9467.81 ± 10.1670.75 ± 8.3384.15 ± 6.2983.01 ± 4.4347.39 ± 2.12Audit-risk90.72 ± 3.8894.59 ± 1.9899.87 ± 0.4197.81 ± 1.2298.45 ± 1.3398.71 ± 1.3598.84 ± 1.4196.91 ± 2.7296.78 ± 2.72100.00 ± 0.00Autism-adolescent-data80.82 ± 7.8698.00 ± 4.22100.00 ± 0.0090.45 ± 6.3996.18 ± 4.9495.27 ± 4.9996.18 ± 4.9489.45 ± 10.3489.45 ± 10.34100.00 ± 0.00Autism-adult-data83.94 ± 3.4297.01 ± 2.64100.00 ± 0.0094.89 ± 3.8499.29 ± 1.0099.57 ± 0.9699.43 ± 1.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00Autism-child-data91.75 ± 5.2098.97 ± 1.67100.00 ± 0.0088.34 ± 3.7499.66 ± 1.09100.00 ± 0.00100.00 ± 0.0099.66 ± 1.0999.66 ± 1.09100.00 ± 0.00Autos71.67 ± 10.0056.62 ± 12.8082.88 ± 7.7976.43 ± 10.0434.64 ± 4.3435.62 ± 5.2135.62 ± 5.2177.00 ± 6.3277.02 ± 4.8262.36 ± 9.87Avila97.20 ± 0.7627.16 ± 2.2494.01 ± 1.2475.60 ± 2.7167.76 ± 2.1369.94 ± 1.8771.38 ± 2.3161.72 ± 1.7161.98 ± 3.0571.45 ± 2.52Balance-scale79.67 ± 2.4590.39 ± 1.7276.65 ± 3.7780.97 ± 4.4590.40 ± 1.5392.80 ± 0.8693.60 ± 1.3290.70 ± 3.7991.02 ± 3.7556.33 ± 4.39Balloons65.00 ± 41.1660.00 ± 31.6265.00 ± 33.7575.00 ± 35.3670.00 ± 34.9680.00 ± 34.9680.00 ± 34.9675.00 ± 26.3575.00 ± 26.3545.00 ± 36.89Bank88.48 ± 0.0683.70 ± 1.1088.79 ± 1.1486.09 ± 1.3589.54 ± 0.6189.69 ± 0.5689.83 ± 1.0688.59 ± 0.8988.39 ± 1.6588.56 ± 0.62Blood76.88 ± 1.3474.47 ± 2.9777.81 ± 3.7769.91 ± 4.2778.48 ± 2.0979.01 ± 1.5478.48 ± 1.4478.21 ± 2.4778.48 ± 2.8076.34 ± 1.66Breast-cancer-wisc-diag93.68 ± 3.7192.98 ± 4.3093.33 ± 3.9495.96 ± 1.8797.54 ± 2.2297.89 ± 1.9998.24 ± 1.1796.13 ± 2.0096.48 ± 2.0489.11 ± 4.11Breast-cancer-wisc-prog76.29 ± 2.1067.66 ± 11.4074.24 ± 7.2972.79 ± 9.0579.32 ± 6.0178.26 ± 8.9577.79 ± 9.5773.79 ± 10.9174.26 ± 13.1070.11 ± 7.77Breast-cancer-wisc96.13 ± 2.4495.85 ± 1.7293.85 ± 3.1695.56 ± 2.9797.14 ± 1.9196.99 ± 1.9696.71 ± 1.9194.85 ± 3.7695.57 ± 2.0792.71 ± 4.54Breast-cancer70.64 ± 1.4972.03 ± 5.9671.71 ± 4.2270.28 ± 7.7373.83 ± 5.2573.13 ± 5.4772.07 ± 5.2572.45 ± 6.5468.90 ± 2.7670.32 ± 5.22Breast-tissue68.00 ± 13.7566.36 ± 14.9266.45 ± 15.6571.64 ± 13.9458.36 ± 14.4767.82 ± 16.5269.82 ± 16.6764.09 ± 8.9863.18 ± 15.7654.55 ± 9.71Bupa67.55 ± 5.0357.17 ± 8.5362.87 ± 9.0161.75 ± 4.9558.86 ± 2.2759.15 ± 2.4559.15 ± 2.4566.66 ± 7.5869.29 ± 6.2854.24 ± 7.87Caesarian73.75 ± 13.7665.00 ± 21.0857.50 ± 17.8761.25 ± 18.1155.00 ± 6.4562.50 ± 11.7958.75 ± 16.7256.25 ± 19.7656.25 ± 20.6248.75 ± 18.11Car70.02 ± 0.1784.32 ± 3.2997.57 ± 1.0196.59 ± 1.1797.40 ± 1.1398.09 ± 1.1698.32 ± 0.9693.23 ± 1.5993.46 ± 1.7170.02 ± 0.17Cardiotocography-10classes66.65 ± 2.6870.93 ± 2.9183.35 ± 2.4378.65 ± 2.9781.23 ± 2.0982.41 ± 2.5683.11 ± 2.0782.92 ± 3.0881.42 ± 3.0647.60 ± 2.30Cardiotocography-3classes77.89 ± 0.2382.08 ± 3.3292.90 ± 2.5192.05 ± 1.7891.06 ± 1.9392.05 ± 2.0992.19 ± 1.7592.19 ± 1.0292.29 ± 2.3381.42 ± 3.18Cervical-cancer76.61 ± 8.4490.36 ± 8.9284.64 ± 13.8988.75 ± 11.2370.89 ± 3.1673.75 ± 7.0573.75 ± 7.0592.86 ± 10.1092.86 ± 10.1077.86 ± 9.07Chemicalcomposionofceramic100.00 ± 0.00100.00 ± 0.0098.75 ± 3.95100.00 ± 0.0045.56 ± 2.3445.56 ± 2.3445.56 ± 2.34100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00Chess-krvk27.84 ± 2.0430.87 ± 2.0351.87 ± 3.0649.95 ± 3.3046.02 ± 2.6048.24 ± 2.2449.77 ± 2.9345.42 ± 2.5543.89 ± 2.1225.63 ± 2.11Chess-krvkp76.85 ± 1.2985.54 ± 1.8499.31 ± 0.5195.28 ± 1.3198.69 ± 0.9199.19 ± 0.6399.19 ± 0.5399.19 ± 0.7199.22 ± 0.6966.46 ± 1.44Congressional-voting61.15 ± 1.1257.67 ± 7.2659.10 ± 3.1359.56 ± 6.1361.61 ± 4.0561.14 ± 5.3160.69 ± 5.8959.75 ± 4.8859.55 ± 5.0062.98 ± 2.68Conn-bench-sonar-mines-rocks77.02 ± 7.1968.36 ± 9.6171.17 ± 7.1086.57 ± 7.0184.17 ± 7.0687.02 ± 7.7988.48 ± 7.8580.81 ± 10.9382.21 ± 8.7063.45 ± 10.50Conn-bench-vowel-deterding75.57 ± 2.6965.51 ± 5.5779.54 ± 6.1299.25 ± 1.3294.13 ± 1.8997.54 ± 1.7998.49 ± 1.4984.65 ± 2.6482.76 ± 3.3835.41 ± 4.94Connect-474.53 ± 0.0468.32 ± 2.0479.98 ± 2.1671.37 ± 2.7174.39 ± 0.2576.01 ± 0.9577.17 ± 1.7474.21 ± 2.0075.93 ± 1.5874.47 ± 0.14Connectionist78.69 ± 8.2367.26 ± 11.2174.33 ± 7.9387.05 ± 5.8661.40 ± 8.5169.74 ± 11.5172.67 ± 12.1983.52 ± 9.0783.55 ± 8.3862.86 ± 6.95Contrac48.00 ± 3.0648.89 ± 5.4753.36 ± 3.4143.25 ± 3.3454.51 ± 2.2254.38 ± 3.5453.77 ± 3.8754.51 ± 3.3355.74 ± 3.3148.00 ± 2.03Covid-1975.00 ± 35.3660.00 ± 45.9570.00 ± 42.1660.00 ± 45.9560.00 ± 39.4455.00 ± 43.7865.00 ± 41.1665.00 ± 41.1665.00 ± 41.1680.00 ± 34.96Credit-approval82.03 ± 4.4476.96 ± 3.8384.93 ± 3.8282.17 ± 5.6485.36 ± 5.4485.07 ± 4.8384.64 ± 4.5985.22 ± 2.7284.20 ± 4.0785.51 ± 4.48Crowdsource75.77 ± 1.4281.41 ± 2.6388.81 ± 1.4995.31 ± 0.9675.34 ± 1.0675.34 ± 1.0675.34 ± 1.0692.60 ± 1.8892.46 ± 2.2278.52 ± 2.22Crx83.48 ± 4.8977.68 ± 3.1586.09 ± 3.7581.16 ± 4.8355.80 ± 3.5756.52 ± 4.2757.83 ± 5.1383.04 ± 4.2183.77 ± 2.8885.51 ± 4.48Cryother90.00 ± 13.3083.33 ± 15.9393.33 ± 7.7790.00 ± 8.2082.22 ± 13.0483.33 ± 13.0983.33 ± 13.0987.78 ± 9.7386.67 ± 8.7681.11 ± 10.54Cylinder-bands66.22 ± 3.1967.59 ± 5.7972.28 ± 6.1169.16 ± 7.2275.78 ± 3.8579.09 ± 4.4081.24 ± 3.1473.05 ± 5.2874.03 ± 5.5066.61 ± 4.29Dbworld-bodies57.38 ± 9.1575.48 ± 15.4380.00 ± 16.8159.29 ± 10.5054.52 ± 5.5554.52 ± 5.5563.81 ± 12.69//86.43 ± 13.28Dbworld-bodies-stemmed57.38 ± 9.1576.90 ± 12.4586.67 ± 14.2964.05 ± 14.7454.52 ± 5.5559.05 ± 9.1773.81 ± 13.23//74.29 ± 20.32Dbworld-sub jects54.52 ± 5.5589.52 ± 9.9372.62 ± 12.1580.24 ± 13.7954.52 ± 5.5554.52 ± 5.5554.52 ± 5.5589.52 ± 13.7687.86 ± 15.4962.62 ± 12.35Dbworld-sub jects-stemmed54.52 ± 5.5586.43 ± 13.2875.71 ± 17.4583.33 ± 10.4754.52 ± 5.5554.52 ± 5.5554.52 ± 5.5587.62 ± 12.2886.19 ± 11.4960.95 ± 10.18Dermatology85.53 ± 4.8297.54 ± 2.7196.47 ± 3.3895.35 ± 4.2697.55 ± 2.3797.83 ± 2.4997.83 ± 2.7998.36 ± 1.4197.82 ± 1.7149.73 ± 2.45Diabetes72.52 ± 4.1476.31 ± 5.5273.83 ± 5.6670.17 ± 4.6965.11 ± 0.3665.11 ± 0.3665.11 ± 0.3675.40 ± 4.6675.39 ± 4.3871.48 ± 5.15Diabetic64.38 ± 4.5256.82 ± 2.2064.38 ± 4.5861.33 ± 4.7558.21 ± 4.7859.43 ± 6.0159.52 ± 5.7172.03 ± 6.1072.46 ± 5.8253.26 ± 5.68Divorce97.65 ± 3.0497.65 ± 3.0495.29 ± 5.4197.65 ± 3.0497.65 ± 3.0497.65 ± 3.0497.65 ± 3.0497.65 ± 3.0497.65 ± 3.0495.29 ± 5.41Dota2train52.70 ± 0.3654.22 ± 3.4654.12 ± 5.3954.43 ± 4.1552.70 ± 0.3653.66 ± 3.6152.59 ± 3.2950.44 ± 3.5052.60 ± 2.2255.39 ± 3.63Dow-jones-index65.43 ± 4.1550.34 ± 5.1372.50 ± 4.0954.61 ± 6.3652.07 ± 0.2252.07 ± 0.2252.07 ± 0.2254.60 ± 5.9555.02 ± 4.7356.48 ± 3.08Dry-bean-dataset93.30 ± 1.5190.24 ± 1.5093.06 ± 1.1394.62 ± 1.1261.52 ± 2.7261.52 ± 2.7261.52 ± 2.7292.53 ± 1.6692.65 ± 1.5568.55 ± 1.91Early-stage-diabetes-data-upload84.04 ± 7.0887.12 ± 3.0195.96 ± 2.7998.08 ± 2.2294.23 ± 4.1594.81 ± 4.0695.38 ± 3.7696.35 ± 2.9396.15 ± 3.2782.31 ± 4.33Echocardiogram68.68 ± 7.7179.34 ± 10.9778.57 ± 11.4274.01 ± 13.2381.65 ± 8.3280.82 ± 11.0980.82 ± 11.0977.14 ± 12.4377.86 ± 13.3085.49 ± 6.73Ecoli71.76 ± 4.2586.89 ± 5.3283.93 ± 7.5480.37 ± 6.3886.59 ± 4.5686.59 ± 4.3387.18 ± 3.5186.00 ± 5.2884.82 ± 3.8266.97 ± 6.83Eegeyesate67.94 ± 1.2246.77 ± 3.2684.50 ± 1.0983.65 ± 2.0355.12 ± 0.0355.16 ± 0.0655.16 ± 0.0654.81 ± 3.7655.07 ± 3.6862.60 ± 1.18Electrical84.91 ± 7.2897.46 ± 4.66100.00 ± 0.0091.32 ± 7.3282.67 ± 7.5282.67 ± 6.5183.63 ± 6.2198.71 ± 1.6798.40 ± 1.6999.68 ± 1.02Energy-y181.25 ± 1.0481.77 ± 3.3397.53 ± 1.2975.79 ± 4.0288.67 ± 1.3989.84 ± 1.6089.84 ± 2.8088.94 ± 1.7488.02 ± 1.8284.50 ± 1.89Energy-y289.84 ± 3.0682.82 ± 3.3190.23 ± 2.7776.31 ± 3.3489.72 ± 2.0690.76 ± 1.5591.28 ± 1.5091.01 ± 2.3591.27 ± 2.8288.41 ± 3.09Extentionofz-alizadehsani71.29 ± 1.4793.40 ± 3.4999.68 ± 1.0290.45 ± 5.1971.29 ± 1.4771.29 ± 1.4771.29 ± 1.4798.03 ± 2.3198.03 ± 2.3186.49 ± 4.71Fertility88.00 ± 4.2288.00 ± 4.2285.00 ± 7.0783.00 ± 11.6088.00 ± 4.2289.00 ± 5.6889.00 ± 7.3890.00 ± 9.4388.00 ± 13.1788.00 ± 4.22First-order90.45 ± 0.3331.39 ± 3.84100.00 ± 0.0099.41 ± 0.4890.45 ± 0.3395.49 ± 1.4697.97 ± 1.0999.87 ± 0.4199.87 ± 0.4190.78 ± 1.71Flags47.97 ± 10.0746.34 ± 7.6160.95 ± 8.0945.00 ± 8.9452.61 ± 9.4154.24 ± 10.3153.24 ± 13.1846.50 ± 12.5149.00 ± 11.9357.26 ± 7.25Foresttypes93.95 ± 4.5894.92 ± 4.1694.97 ± 5.7795.45 ± 3.7030.32 ± 2.4532.34 ± 3.6432.34 ± 3.6496.92 ± 3.6396.92 ± 3.6382.26 ± 8.50Garments-worker-productivity44.44 ± 2.4626.06 ± 2.6247.04 ± 6.1926.15 ± 3.5035.50 ± 2.9036.08 ± 2.9136.84 ± 2.4741.19 ± 5.5441.11 ± 4.4132.41 ± 3.71Gender-name-dataset60.24 ± 1.5358.30 ± 6.5160.23 ± 0.1563.60 ± 1.7064.19 ± 1.3864.28 ± 2.0264.34 ± 1.8160.32 ± 0.1058.26 ± 6.5260.58 ± 1.04Gesture-a1-raw89.18 ± 2.1174.13 ± 2.7891.47 ± 2.1196.34 ± 1.1239.95 ± 0.3039.95 ± 0.3039.95 ± 0.3091.53 ± 2.2391.36 ± 1.4196.74 ± 1.35Gesture-a1-va368.10 ± 2.4759.27 ± 3.5266.16 ± 4.6674.12 ± 2.7639.82 ± 0.2239.82 ± 0.2239.82 ± 0.2270.97 ± 1.6670.57 ± 2.3161.56 ± 2.06Gesture-a2-raw88.45 ± 1.9168.67 ± 3.1689.25 ± 3.0894.63 ± 3.0439.00 ± 0.2739.00 ± 0.2739.00 ± 0.2789.48 ± 1.8989.72 ± 2.2594.70 ± 2.62Gesture-a2-va361.98 ± 2.7943.97 ± 8.7357.06 ± 2.6067.70 ± 4.1338.81 ± 0.2538.81 ± 0.2538.81 ± 0.2562.30 ± 3.4361.35 ± 4.3253.97 ± 4.10Gesture-a3-raw90.68 ± 1.9961.45 ± 3.8792.97 ± 1.2296.29 ± 0.9936.10 ± 0.2436.10 ± 0.2436.10 ± 0.2489.53 ± 1.4588.77 ± 2.5095.31 ± 1.16Gesture-a3-va360.38 ± 2.3250.22 ± 2.5375.96 ± 3.1489.89 ± 1.7735.96 ± 0.2335.96 ± 0.2335.96 ± 0.2365.46 ± 3.5066.45 ± 2.7050.93 ± 2.39Gesture-b1-raw91.52 ± 2.9448.56 ± 4.9192.73 ± 2.7894.87 ± 2.8738.68 ± 0.6538.86 ± 0.7938.86 ± 0.7987.51 ± 4.3189.38 ± 1.9891.42 ± 2.24Gesture-b1-va361.19 ± 5.7434.80 ± 7.1869.88 ± 4.2490.56 ± 2.6938.54 ± 0.3938.54 ± 0.3938.54 ± 0.3961.84 ± 3.4063.70 ± 4.8342.57 ± 4.35Gesture-b3-raw89.40 ± 2.9257.65 ± 4.2291.08 ± 3.4395.51 ± 0.8833.08 ± 0.3433.08 ± 0.3433.08 ± 0.3488.41 ± 4.1087.64 ± 3.4095.36 ± 2.35Gesture-b3-va346.20 ± 3.5843.66 ± 3.9657.39 ± 3.9778.03 ± 2.9333.03 ± 0.2233.03 ± 0.2233.03 ± 0.2258.10 ± 5.4755.92 ± 5.0540.07 ± 5.49Gesture-c1-raw86.41 ± 3.5363.64 ± 2.5989.29 ± 2.2694.33 ± 1.6825.74 ± 0.4525.74 ± 0.4525.74 ± 0.4587.58 ± 3.3687.13 ± 3.5893.79 ± 2.60Gesture-c1-va352.84 ± 4.0850.50 ± 3.8957.81 ± 3.4670.37 ± 3.4525.47 ± 0.3625.47 ± 0.3625.47 ± 0.3664.23 ± 3.1362.51 ± 4.1541.46 ± 4.63Gesture-c3-raw88.26 ± 2.6660.08 ± 5.3587.77 ± 3.5493.02 ± 2.3327.00 ± 0.2227.00 ± 0.2227.00 ± 0.2285.91 ± 3.1683.70 ± 2.2494.34 ± 1.34Gesture-c3-va348.13 ± 3.4445.50 ± 2.3854.91 ± 4.0062.39 ± 4.7126.94 ± 0.2126.94 ± 0.2126.94 ± 0.2157.41 ± 4.0856.10 ± 5.7242.59 ± 2.76Glass65.80 ± 11.0152.27 ± 9.0567.29 ± 8.5070.52 ± 8.9472.88 ± 6.5671.90 ± 8.5070.97 ± 8.3967.25 ± 9.7268.20 ± 5.3157.08 ± 8.98Go-track-tracks83.60 ± 10.3682.87 ± 4.5487.68 ± 7.7190.92 ± 8.5772.02 ± 12.7171.99 ± 11.5371.99 ± 11.5384.12 ± 10.3484.74 ± 8.9975.55 ± 13.56Haberman-survival73.51 ± 3.0875.13 ± 4.0771.86 ± 4.0867.68 ± 6.2972.55 ± 4.6571.25 ± 2.9171.25 ± 2.9172.85 ± 6.0873.85 ± 6.6272.88 ± 3.00Hayes-roth65.88 ± 10.4574.84 ± 13.2980.27 ± 6.5181.04 ± 6.5386.32 ± 7.1081.04 ± 6.5380.27 ± 6.5171.04 ± 13.2070.27 ± 13.5443.96 ± 5.89Hcc-data63.68 ± 4.5268.97 ± 8.6360.70 ± 7.6463.64 ± 8.0261.84 ± 2.2661.84 ± 2.2661.84 ± 2.2664.45 ± 14.8264.41 ± 10.8269.15 ± 11.07Hcvdat87.48 ± 1.0591.71 ± 3.6492.04 ± 2.2190.57 ± 1.4886.67 ± 0.6386.67 ± 0.6386.67 ± 0.6393.00 ± 2.8192.35 ± 3.0088.62 ± 1.84Heart-cleveland54.15 ± 2.2855.84 ± 10.4252.55 ± 8.3154.77 ± 6.5157.51 ± 8.5358.83 ± 9.0757.53 ± 9.5854.17 ± 6.9754.49 ± 6.4352.54 ± 7.34Heart-hungarian80.33 ± 7.1280.97 ± 8.0678.61 ± 6.7277.55 ± 8.1081.72 ± 7.6382.38 ± 6.3783.05 ± 6.5077.86 ± 8.8377.83 ± 7.9578.98 ± 9.41Heart-switzerland43.78 ± 8.8241.47 ± 11.3141.41 ± 11.0132.69 ± 14.1339.04 ± 6.3139.81 ± 5.6241.54 ± 6.4843.97 ± 14.4544.68 ± 11.9132.31 ± 12.00Heart-va29.00 ± 9.3733.00 ± 10.0633.00 ± 6.3235.00 ± 7.8234.50 ± 9.5632.00 ± 8.5630.00 ± 9.4329.50 ± 10.3928.50 ± 10.5527.50 ± 9.79Heart-failure-clinical-records-dataset69.23 ± 2.1076.94 ± 6.3180.61 ± 5.1365.54 ± 6.7467.90 ± 1.6267.90 ± 1.6267.90 ± 1.6273.56 ± 4.9377.30 ± 9.2285.61 ± 6.32Hepatitis79.37 ± 2.3883.79 ± 8.9379.96 ± 8.8182.50 ± 5.5483.17 ± 6.3384.38 ± 9.3184.38 ± 9.3181.96 ± 9.3378.75 ± 11.3974.17 ± 6.82Hill-valley49.82 ± 5.8448.67 ± 2.5850.33 ± 1.1151.81 ± 3.4852.16 ± 6.5852.15 ± 7.4453.14 ± 6.9956.14 ± 7.6053.14 ± 2.7247.51 ± 4.93Hiv1625data93.54 ± 1.8493.72 ± 1.7090.95 ± 2.4492.06 ± 1.9692.18 ± 2.0093.41 ± 2.1293.72 ± 2.3395.26 ± 2.0893.60 ± 2.3179.32 ± 1.71Hiv746data92.37 ± 3.2290.89 ± 3.6882.58 ± 4.7686.74 ± 3.3689.55 ± 3.7190.89 ± 2.8091.03 ± 3.2792.50 ± 2.5192.50 ± 3.2680.97 ± 4.35Horse-colic74.00 ± 3.0672.67 ± 5.6287.00 ± 5.0876.67 ± 7.5483.67 ± 4.8384.67 ± 5.2685.00 ± 5.7279.33 ± 6.0579.67 ± 7.9382.33 ± 5.45Htru97.06 ± 0.4994.50 ± 0.5097.84 ± 0.5197.14 ± 0.3891.14 ± 0.1491.48 ± 0.1991.38 ± 0.1897.97 ± 0.4097.95 ± 0.3697.60 ± 0.40Hypothyroid92.29 ± 0.0895.28 ± 0.8399.58 ± 0.2991.52 ± 1.5592.60 ± 0.3192.74 ± 0.7292.71 ± 0.7893.82 ± 4.1592.92 ± 4.4696.24 ± 0.94Ibeacon-rssi-labeled24.15 ± 2.4419.86 ± 2.1526.34 ± 3.1437.18 ± 3.8434.15 ± 1.7036.55 ± 2.8137.75 ± 3.1427.54 ± 3.5827.54 ± 3.994.51 ± 1.73Ilpd-indian-liver71.53 ± 1.3955.91 ± 5.2466.06 ± 5.2564.83 ± 5.8971.36 ± 0.7670.67 ± 1.7470.83 ± 2.5168.95 ± 4.7868.95 ± 6.0266.05 ± 2.99Image-segmentation88.10 ± 5.1477.62 ± 5.5289.05 ± 7.7987.14 ± 4.5287.14 ± 3.2187.14 ± 4.5286.67 ± 4.3890.00 ± 4.7490.00 ± 4.7459.05 ± 8.75Immunotherapy78.89 ± 3.5175.56 ± 10.2182.22 ± 10.7370.00 ± 16.6078.89 ± 3.5178.89 ± 3.5178.89 ± 3.5181.11 ± 11.7778.89 ± 8.2084.44 ± 9.37Impensdata85.64 ± 1.1190.07 ± 2.4784.27 ± 0.3087.54 ± 2.4684.27 ± 0.3084.27 ± 0.3084.27 ± 0.3090.28 ± 2.2489.33 ± 2.6084.37 ± 2.08In-vehicle-coupon-recommendation57.36 ± 0.2065.59 ± 1.5470.84 ± 1.1463.99 ± 1.5368.89 ± 1.3269.42 ± 1.3169.84 ± 1.3270.46 ± 1.0471.29 ± 1.0960.53 ± 0.88Indian71.70 ± 0.8855.74 ± 5.1768.97 ± 5.2264.12 ± 6.8172.38 ± 1.5871.69 ± 1.3471.69 ± 1.3468.26 ± 5.8867.91 ± 7.1165.88 ± 2.93Ionosphere88.31 ± 3.1782.62 ± 5.4791.46 ± 3.2786.33 ± 4.5994.31 ± 2.3094.89 ± 3.1895.75 ± 3.0090.32 ± 2.3990.90 ± 3.4580.92 ± 7.47Iris81.33 ± 11.2493.33 ± 5.4496.00 ± 5.6295.33 ± 5.4996.67 ± 3.5196.00 ± 4.6696.67 ± 3.5197.33 ± 3.4497.33 ± 3.4492.00 ± 6.13Jain93.53 ± 4.2694.35 ± 4.3199.46 ± 1.71100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0095.15 ± 3.5795.15 ± 3.3395.16 ± 3.32Jsbach-chorals-harmony88.37 ± 0.0596.86 ± 0.5596.52 ± 0.5097.49 ± 0.5496.26 ± 0.6196.91 ± 0.4597.19 ± 0.6897.56 ± 0.5997.18 ± 0.8795.96 ± 0.62Knowledge61.08 ± 7.4887.19 ± 11.0492.35 ± 6.8275.00 ± 8.3183.73 ± 9.9088.92 ± 8.8991.83 ± 7.9191.83 ± 5.6492.42 ± 5.5382.52 ± 9.66Lasvegastripadvisorreviews14.67 ± 3.2016.47 ± 4.4016.30 ± 5.0515.68 ± 3.9613.47 ± 3.3711.68 ± 4.8014.07 ± 4.8215.69 ± 6.5116.07 ± 5.0814.29 ± 3.25Leaf58.82 ± 5.8872.06 ± 8.5760.88 ± 8.093.24 ± 3.2417.06 ± 4.1124.12 ± 5.1525.59 ± 5.5550.88 ± 7.3448.24 ± 7.9923.82 ± 4.89Led-display70.00 ± 3.6272.00 ± 2.7571.10 ± 3.2570.90 ± 3.2871.90 ± 4.0971.70 ± 3.8071.40 ± 3.6671.80 ± 3.4672.00 ± 3.8919.60 ± 1.26Lenses68.33 ± 33.7568.33 ± 33.7578.33 ± 33.3886.67 ± 21.9478.33 ± 29.4583.33 ± 22.2283.33 ± 22.2271.67 ± 26.1271.67 ± 26.1266.67 ± 30.43Letter71.68 ± 0.7364.01 ± 0.7487.91 ± 0.6595.90 ± 0.2994.88 ± 0.2596.00 ± 0.3096.51 ± 0.2282.45 ± 1.1781.78 ± 1.0817.25 ± 0.37Libras66.94 ± 9.6663.33 ± 9.9669.72 ± 10.4385.83 ± 4.9881.11 ± 4.1085.28 ± 4.3586.94 ± 3.9480.56 ± 5.2481.11 ± 5.3721.11 ± 6.03Low-res-spect66.65 ± 3.8880.42 ± 3.9683.24 ± 3.4083.79 ± 4.0389.45 ± 2.4189.64 ± 2.7290.58 ± 2.5392.47 ± 3.3391.71 ± 2.5573.83 ± 5.30Lung-cancer56.67 ± 21.0866.67 ± 20.7940.83 ± 26.7750.83 ± 36.5353.33 ± 21.9459.17 ± 21.6851.67 ± 25.0946.67 ± 28.1149.17 ± 24.3647.50 ± 17.59Lymphography76.24 ± 7.0482.38 ± 8.5574.90 ± 8.1275.67 ± 13.0585.86 ± 9.2585.10 ± 9.9283.14 ± 8.9681.00 ± 9.1879.62 ± 8.7775.67 ± 8.03Magic76.45 ± 1.7573.34 ± 2.4982.60 ± 2.5679.65 ± 2.3484.75 ± 2.1585.02 ± 1.7485.02 ± 1.4284.28 ± 1.7984.02 ± 1.8571.87 ± 4.46Mammographic78.87 ± 3.2778.46 ± 3.5882.00 ± 2.1175.54 ± 5.0082.73 ± 2.1382.32 ± 2.5982.52 ± 2.6481.69 ± 2.6981.17 ± 2.5381.89 ± 1.25Miniboone79.08 ± 1.9829.15 ± 1.3885.92 ± 2.4383.54 ± 1.5984.54 ± 2.4785.62 ± 2.1286.38 ± 1.8584.15 ± 1.7183.85 ± 1.8181.77 ± 1.78Molec-biol-promoter88.55 ± 16.4888.45 ± 10.9374.45 ± 10.0472.45 ± 12.0882.64 ± 13.4584.64 ± 11.9484.64 ± 11.9478.36 ± 10.9277.45 ± 10.1069.73 ± 11.09Molec-biol-splice51.88 ± 0.1792.35 ± 1.7192.63 ± 1.9263.10 ± 2.0887.12 ± 1.9787.27 ± 1.7186.74 ± 1.3084.70 ± 2.2684.33 ± 1.7763.32 ± 2.27Monks-191.86 ± 9.6371.54 ± 11.5196.79 ± 6.7670.13 ± 10.3180.64 ± 12.1183.08 ± 10.9383.14 ± 9.5988.65 ± 14.9589.55 ± 17.2073.27 ± 9.82Monks-262.13 ± 2.9356.18 ± 10.9676.91 ± 10.9261.03 ± 10.9458.01 ± 7.3960.92 ± 12.5464.49 ± 12.4273.46 ± 12.3874.56 ± 7.8458.60 ± 4.55Monks-393.40 ± 8.6088.53 ± 5.7693.40 ± 8.6074.55 ± 16.3890.19 ± 7.5689.29 ± 7.9689.29 ± 7.9684.23 ± 10.7789.23 ± 6.8977.88 ± 3.84Mushroom90.52 ± 1.0688.84 ± 1.14100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0098.52 ± 0.48Musk-184.25 ± 5.5873.99 ± 6.9785.11 ± 6.5984.89 ± 4.5690.77 ± 4.3192.43 ± 2.8693.69 ± 2.9994.33 ± 2.6093.49 ± 3.0262.39 ± 8.95Musk-287.81 ± 0.8585.09 ± 1.6795.42 ± 1.5396.18 ± 0.9696.09 ± 1.2097.42 ± 0.9598.06 ± 0.7698.88 ± 0.6998.73 ± 0.9089.72 ± 1.26Newdiagnosis100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.00100.00 ± 0.0077.50 ± 6.86Nursery88.17 ± 1.3589.75 ± 0.9899.49 ± 0.2788.98 ± 0.9198.24 ± 0.2298.67 ± 0.2198.94 ± 0.2095.73 ± 0.8894.77 ± 1.3070.97 ± 1.03Obesitydataset-raw-and-data-sinthetic83.04 ± 2.2967.41 ± 2.7993.75 ± 1.9482.05 ± 2.4889.72 ± 2.3391.71 ± 2.2492.47 ± 2.2294.37 ± 2.7594.22 ± 1.4667.08 ± 3.58Obs-network-dataset-2-aug2796.00 ± 1.7071.82 ± 5.3199.63 ± 1.1799.07 ± 0.6297.68 ± 0.6597.68 ± 0.6597.68 ± 0.6596.56 ± 1.5398.05 ± 1.1990.69 ± 2.07Occupancy-data96.13 ± 0.9295.53 ± 1.0298.61 ± 0.8199.14 ± 0.5080.94 ± 2.0182.10 ± 2.3182.10 ± 2.3197.94 ± 0.8798.01 ± 0.9098.69 ± 0.77Occupancy-data298.41 ± 0.4396.03 ± 0.5599.44 ± 0.1699.47 ± 0.2383.55 ± 0.5085.65 ± 0.5985.65 ± 0.5999.43 ± 0.2199.42 ± 0.1599.37 ± 0.16Occupancy-data398.40 ± 0.6397.70 ± 0.5599.51 ± 0.1099.46 ± 0.2382.91 ± 0.5384.51 ± 0.6184.53 ± 0.6198.76 ± 0.3798.77 ± 0.3099.37 ± 0.18Old88.60 ± 1.8094.05 ± 0.9794.99 ± 1.7297.68 ± 0.8295.07 ± 0.9395.19 ± 1.2795.48 ± 1.1996.95 ± 0.9796.86 ± 1.1288.68 ± 1.62Online-shoppers-intention84.53 ± 0.0381.60 ± 1.3089.53 ± 0.5381.53 ± 0.5784.50 ± 0.0684.45 ± 0.1384.40 ± 0.1589.38 ± 0.8588.86 ± 1.2188.23 ± 0.98Oocytes-merluccius-nucleus-4d72.02 ± 2.4859.98 ± 4.0975.64 ± 2.4372.22 ± 3.9077.30 ± 2.9080.13 ± 2.5181.01 ± 3.0281.41 ± 2.0480.62 ± 4.3866.83 ± 5.20Oocytes-merluccius-states-2f88.55 ± 3.2184.64 ± 4.0490.51 ± 3.4091.09 ± 2.8491.68 ± 2.5992.07 ± 2.1092.76 ± 1.9791.78 ± 1.6991.29 ± 2.7681.89 ± 4.69Oocytes-trisopterus-nucleus-2fg64.46 ± 5.2153.07 ± 5.5572.16 ± 6.8574.34 ± 5.8081.15 ± 3.6783.78 ± 3.4183.34 ± 2.7683.11 ± 3.9782.12 ± 4.2559.43 ± 5.98Oocytes-trisopterus-states-5bg83.13 ± 4.7875.78 ± 4.2388.60 ± 2.5590.90 ± 3.6991.78 ± 3.4092.33 ± 2.7492.77 ± 2.3293.32 ± 2.6893.32 ± 2.9780.04 ± 2.74Optdigits88.83 ± 1.1991.33 ± 1.0190.69 ± 1.4498.61 ± 0.6473.13 ± 1.9174.88 ± 2.0874.88 ± 2.0898.26 ± 0.7198.43 ± 0.5427.03 ± 1.23Optical88.47 ± 1.5791.68 ± 1.3189.72 ± 1.3998.46 ± 0.5798.59 ± 0.5598.74 ± 0.6098.72 ± 0.5898.27 ± 0.5498.20 ± 0.7527.70 ± 1.30Ozone97.12 ± 0.1971.10 ± 3.6895.78 ± 0.5395.11 ± 0.6797.12 ± 0.1997.12 ± 0.1997.12 ± 0.1996.22 ± 0.9796.65 ± 0.8996.85 ± 0.45Page-blocks92.84 ± 0.8989.99 ± 1.4396.88 ± 0.4196.02 ± 0.6096.18 ± 0.7596.44 ± 0.7596.47 ± 0.7696.22 ± 0.7096.20 ± 0.5593.75 ± 0.60Parkingbirmingham81.18 ± 1.9476.17 ± 2.07100.00 ± 0.0097.45 ± 0.6758.69 ± 3.7861.30 ± 3.9161.30 ± 3.9186.42 ± 1.5487.88 ± 1.56100.00 ± 0.00Parkinsons84.63 ± 5.4069.34 ± 11.5180.50 ± 3.3396.39 ± 2.4987.71 ± 6.3989.79 ± 6.2991.34 ± 5.8090.63 ± 7.7989.66 ± 8.9386.18 ± 7.59Pasture71.67 ± 24.9174.17 ± 23.7278.33 ± 20.4971.67 ± 27.5528.33 ± 4.3028.33 ± 4.3028.33 ± 4.3076.67 ± 25.0974.17 ± 26.4863.33 ± 26.41Pbc75.35 ± 4.8377.72 ± 7.4277.24 ± 8.3159.58 ± 8.7761.48 ± 0.7961.48 ± 0.7961.48 ± 0.7971.06 ± 6.0473.67 ± 4.0272.25 ± 9.13Pen87.26 ± 0.6185.75 ± 1.1896.56 ± 0.5399.36 ± 0.1713.49 ± 0.8614.47 ± 0.9514.47 ± 0.9594.62 ± 0.6394.40 ± 0.4338.95 ± 1.54Pendigits86.55 ± 1.0287.99 ± 1.4696.14 ± 0.7599.43 ± 0.2499.61 ± 0.1999.67 ± 0.1699.65 ± 0.1795.17 ± 0.6795.05 ± 0.5439.74 ± 1.98Pharynx76.45 ± 2.1968.24 ± 10.4876.45 ± 2.1964.08 ± 10.1675.42 ± 8.6173.29 ± 10.6070.26 ± 10.6871.79 ± 3.6470.95 ± 16.4127.13 ± 5.60Phishingwebsites85.07 ± 0.9992.98 ± 0.6495.88 ± 0.4497.18 ± 0.4594.50 ± 0.5295.00 ± 0.5095.26 ± 0.4696.78 ± 0.3896.83 ± 0.4888.89 ± 0.56Pima72.00 ± 3.7776.31 ± 5.5573.83 ± 5.6670.17 ± 4.6975.66 ± 4.0875.13 ± 4.0175.00 ± 3.4375.40 ± 4.6675.39 ± 4.3871.48 ± 5.15Pittsburg-bridges-rel-l69.09 ± 8.0266.91 ± 11.9563.00 ± 14.1071.09 ± 16.9167.18 ± 12.3468.09 ± 12.3972.82 ± 11.1061.36 ± 14.2766.18 ± 10.7571.00 ± 10.59Pittsburg-bridges-span59.78 ± 8.9867.33 ± 13.9360.78 ± 13.1755.00 ± 18.0565.11 ± 14.6364.00 ± 16.1864.00 ± 16.1866.22 ± 9.9168.44 ± 13.3154.67 ± 14.02Pittsburg-bridges-t-or-d86.36 ± 4.7386.45 ± 9.8383.55 ± 10.7883.55 ± 11.7686.45 ± 7.7488.45 ± 8.4489.45 ± 7.9085.64 ± 12.4983.64 ± 14.1085.27 ± 9.69Pittsburg-bridges-type55.91 ± 11.2855.91 ± 11.6261.73 ± 9.3157.82 ± 11.7653.91 ± 12.0561.27 ± 17.6562.45 ± 13.3259.64 ± 17.8259.64 ± 17.3056.09 ± 5.40Pittsburg-bridgesmaterial84.00 ± 7.7584.00 ± 7.5087.73 ± 8.0783.73 ± 11.4285.91 ± 6.3985.00 ± 6.2484.00 ± 9.6483.18 ± 11.0379.36 ± 10.1486.82 ± 4.74Planning72.02 ± 2.5768.13 ± 6.2871.46 ± 1.6065.94 ± 9.3271.46 ± 1.6070.32 ± 5.9665.91 ± 6.9361.49 ± 7.0358.71 ± 9.9362.05 ± 8.60Plant-margin63.13 ± 4.3184.69 ± 2.5948.06 ± 4.5074.00 ± 2.7882.81 ± 2.2784.75 ± 2.8085.13 ± 2.8283.06 ± 2.2383.63 ± 3.247.69 ± 2.17Plant-shape49.81 ± 4.4253.19 ± 2.8846.13 ± 3.4064.69 ± 3.3548.94 ± 1.6256.75 ± 3.1360.06 ± 3.3564.75 ± 3.7965.00 ± 3.358.56 ± 1.62Plant-texture62.85 ± 2.9374.42 ± 3.1351.97 ± 3.4880.11 ± 2.8483.30 ± 2.5085.55 ± 2.2986.06 ± 2.3583.80 ± 1.7483.11 ± 1.913.44 ± 0.90Poker-hand-training-true49.95 ± 0.0249.95 ± 0.0255.91 ± 2.0447.03 ± 0.8658.71 ± 1.0057.57 ± 0.9356.45 ± 1.1153.97 ± 0.6151.90 ± 2.0349.95 ± 0.02Post-operative71.11 ± 5.7465.56 ± 6.3171.11 ± 5.7461.11 ± 10.8071.11 ± 5.7468.89 ± 7.0366.67 ± 9.0756.67 ± 13.3056.67 ± 16.1068.89 ± 7.03Primary-tumor26.06 ± 2.1243.03 ± 10.1843.33 ± 9.0435.15 ± 8.3546.67 ± 10.9044.85 ± 10.5743.94 ± 11.9740.91 ± 7.9941.21 ± 8.4827.88 ± 2.78Qsarbioconcentration74.84 ± 0.6373.69 ± 1.8073.29 ± 3.8161.62 ± 5.7574.84 ± 0.7073.30 ± 1.5070.60 ± 2.8970.99 ± 4.0771.63 ± 3.0572.79 ± 3.27Qsarbiodegradation69.95 ± 2.1675.83 ± 3.2383.51 ± 3.4683.60 ± 2.2485.88 ± 2.6286.25 ± 2.1785.59 ± 2.4986.92 ± 2.3087.21 ± 2.4676.69 ± 3.95Qualitative-bankruptcy99.20 ± 2.5399.20 ± 2.5398.00 ± 2.83100.00 ± 0.0098.80 ± 2.7098.80 ± 2.7099.60 ± 1.2699.20 ± 2.5399.20 ± 2.5398.40 ± 2.80Ringnorm79.14 ± 1.4398.64 ± 0.4791.61 ± 0.2775.16 ± 1.5898.59 ± 0.4198.47 ± 0.4198.35 ± 0.4891.95 ± 1.4791.70 ± 0.8664.43 ± 0.97Risk-factors-cervical-cancer93.59 ± 0.6088.69 ± 1.9195.10 ± 1.9794.40 ± 2.0693.59 ± 0.6093.47 ± 0.8093.94 ± 1.6294.76 ± 2.0094.52 ± 2.2796.15 ± 1.91Robotnavigation91.81 ± 1.0052.51 ± 2.0199.60 ± 0.2388.25 ± 1.2290.03 ± 1.1491.18 ± 0.9891.99 ± 0.7788.21 ± 1.8688.20 ± 2.4475.37 ± 1.90Sapfile48.85 ± 11.4754.18 ± 10.3145.71 ± 14.9541.98 ± 8.9748.85 ± 8.8949.67 ± 6.8349.67 ± 8.5448.08 ± 9.4647.31 ± 12.3041.92 ± 12.36Sat85.10 ± 0.8779.60 ± 1.2386.03 ± 0.9890.55 ± 0.7926.14 ± 0.5327.32 ± 0.4727.32 ± 0.4789.71 ± 1.6088.98 ± 1.1159.75 ± 1.30Satelite85.07 ± 0.8279.56 ± 1.1086.34 ± 0.6590.58 ± 1.1126.12 ± 0.5727.40 ± 0.7127.40 ± 0.7189.82 ± 0.6689.26 ± 0.8759.97 ± 1.65Scadi58.57 ± 8.1182.86 ± 9.0480.00 ± 13.8080.00 ± 13.8075.71 ± 9.6478.57 ± 13.8881.43 ± 15.1380.00 ± 9.9980.00 ± 9.9958.57 ± 10.54Schillingdata86.86 ± 0.2493.86 ± 0.7486.74 ± 0.1588.45 ± 1.0086.74 ± 0.1589.00 ± 1.0391.63 ± 0.6692.67 ± 2.0891.01 ± 3.3886.58 ± 0.44Seeds86.67 ± 6.6691.43 ± 4.3891.90 ± 5.9694.29 ± 2.0193.81 ± 3.9293.81 ± 3.9293.81 ± 3.9295.24 ± 3.1796.19 ± 3.0182.38 ± 10.05Segment90.30 ± 2.2680.22 ± 1.8996.93 ± 1.0997.14 ± 0.6265.37 ± 2.8867.01 ± 2.4066.97 ± 2.4796.06 ± 1.2096.28 ± 0.8963.85 ± 2.78Seismic-bumps93.42 ± 0.0186.73 ± 1.8993.34 ± 0.2489.39 ± 1.4693.42 ± 0.0193.42 ± 0.0193.42 ± 0.0192.45 ± 0.9392.30 ± 0.9292.96 ± 0.55Semeion78.02 ± 3.3685.94 ± 2.7275.83 ± 2.3991.46 ± 1.9295.60 ± 1.0796.17 ± 0.6996.11 ± 0.7292.65 ± 1.5793.09 ± 1.6619.59 ± 0.47Setapprocesst168.33 ± 8.7058.57 ± 22.1162.86 ± 20.4065.24 ± 10.7263.81 ± 8.3868.57 ± 10.6466.90 ± 9.2964.76 ± 20.4865.00 ± 19.9272.14 ± 23.19Setapprocesst1066.43 ± 5.5144.64 ± 15.9958.21 ± 14.1260.54 ± 16.5166.43 ± 5.5166.43 ± 5.5166.43 ± 5.5151.25 ± 27.0751.25 ± 21.9562.14 ± 8.07Setapprocesst1166.43 ± 5.5152.50 ± 24.6765.71 ± 18.5558.04 ± 16.2866.43 ± 5.5166.43 ± 5.5166.43 ± 5.5161.43 ± 15.7164.11 ± 20.1156.96 ± 10.60Setapprocesst267.86 ± 8.1666.79 ± 15.2772.14 ± 19.7162.68 ± 21.5766.43 ± 5.5166.43 ± 5.5166.43 ± 5.5162.68 ± 20.1665.18 ± 20.8181.25 ± 16.71Setapprocesst366.43 ± 5.5165.18 ± 12.6960.54 ± 15.7666.25 ± 13.4066.43 ± 5.5166.43 ± 5.5166.43 ± 5.5166.25 ± 13.4066.25 ± 9.4353.04 ± 16.45Setapprocesst471.43 ± 6.6447.62 ± 26.1555.24 ± 15.2260.24 ± 18.5871.43 ± 6.6471.43 ± 6.6471.43 ± 6.6455.00 ± 21.8956.90 ± 17.3772.62 ± 11.68Setapprocesst569.29 ± 7.2845.89 ± 16.5253.39 ± 18.0059.64 ± 17.6065.18 ± 7.5463.93 ± 8.9463.93 ± 8.9459.82 ± 13.5862.50 ± 14.6865.71 ± 24.88Setapprocesst666.43 ± 5.5167.50 ± 16.6864.82 ± 13.1564.29 ± 14.5166.43 ± 5.5166.43 ± 5.5166.43 ± 5.5162.68 ± 17.4662.68 ± 14.6460.18 ± 20.15Setapprocesst767.86 ± 8.1674.82 ± 14.8660.71 ± 19.9464.11 ± 15.0966.43 ± 5.5166.43 ± 5.5166.43 ± 5.5170.54 ± 21.1571.96 ± 18.2952.86 ± 15.18Setapprocesst866.43 ± 5.5168.93 ± 14.0270.18 ± 15.1363.21 ± 15.5966.43 ± 5.5166.43 ± 5.5166.43 ± 5.5166.61 ± 16.3765.36 ± 18.1649.46 ± 11.45Setapprocesst966.43 ± 5.5164.64 ± 16.6269.29 ± 16.4958.39 ± 9.9366.43 ± 5.5166.43 ± 5.5166.43 ± 5.5170.18 ± 20.2667.68 ± 17.2250.71 ± 16.54Shillbiddingdataset90.95 ± 0.4396.71 ± 0.4399.62 ± 0.1599.22 ± 0.2899.54 ± 0.1799.56 ± 0.2199.65 ± 0.1999.68 ± 0.1599.72 ± 0.1997.28 ± 0.54Shuttle-landing-control95.00 ± 15.8180.00 ± 34.9695.00 ± 15.8195.00 ± 15.8195.00 ± 15.8195.00 ± 15.8195.00 ± 15.8185.00 ± 33.7580.00 ± 34.9685.00 ± 33.75Somervillehappinesssurvey201557.33 ± 12.5059.38 ± 9.9964.29 ± 17.0958.95 ± 12.8060.05 ± 10.8658.71 ± 10.3158.76 ± 11.6958.86 ± 9.3859.57 ± 11.6565.67 ± 15.87Sonar76.55 ± 7.0667.88 ± 9.2971.17 ± 7.1086.57 ± 7.0165.90 ± 5.4370.26 ± 9.0173.60 ± 9.5482.29 ± 10.7081.76 ± 9.6862.50 ± 11.07Soybean69.10 ± 6.5691.86 ± 5.6087.26 ± 5.1687.62 ± 4.7990.22 ± 6.0092.17 ± 4.4591.53 ± 4.6989.88 ± 6.8590.84 ± 6.4730.63 ± 2.45Spambase77.42 ± 1.1979.11 ± 1.7892.96 ± 1.1990.78 ± 1.1093.39 ± 0.9393.50 ± 1.1093.41 ± 0.9291.20 ± 1.2789.11 ± 6.8678.35 ± 1.99Speaker-accent51.36 ± 2.5258.07 ± 10.2269.92 ± 9.5880.56 ± 8.9258.36 ± 4.0062.31 ± 4.3162.31 ± 4.3179.64 ± 8.2075.40 ± 7.2950.45 ± 4.64Spect70.89 ± 8.3472.14 ± 17.4670.89 ± 13.1855.71 ± 15.7264.64 ± 11.1964.46 ± 11.7463.21 ± 9.4655.71 ± 17.7956.96 ± 14.5772.14 ± 9.82Spectf68.75 ± 12.1575.00 ± 11.7973.75 ± 12.4367.50 ± 18.8267.50 ± 6.4567.50 ± 6.4576.25 ± 13.7671.25 ± 14.4972.50 ± 15.3771.25 ± 8.44Statlog-australian-credit67.68 ± 0.7059.28 ± 5.5366.96 ± 7.1355.80 ± 3.2967.54 ± 1.8364.35 ± 6.3863.91 ± 5.6162.75 ± 5.5961.01 ± 4.5065.22 ± 6.34Statlog-german-credit70.00 ± 0.0075.60 ± 5.2173.90 ± 4.6867.80 ± 3.9476.10 ± 4.1277.30 ± 3.7477.30 ± 4.4270.90 ± 3.9372.20 ± 3.3670.90 ± 2.28Statlog-heart83.70 ± 7.4583.33 ± 7.2576.30 ± 9.7575.19 ± 8.5682.96 ± 5.3080.00 ± 8.4179.63 ± 9.6078.15 ± 7.0880.00 ± 8.7671.11 ± 6.25Statlog-image90.22 ± 2.1580.09 ± 2.0296.93 ± 1.0997.14 ± 0.6294.29 ± 0.8895.15 ± 0.9595.45 ± 0.9096.10 ± 0.9196.15 ± 1.0563.68 ± 2.46Statlog-landsat85.95 ± 1.4979.55 ± 2.2086.13 ± 1.8190.15 ± 1.7089.47 ± 1.5990.19 ± 1.3890.26 ± 1.6189.00 ± 1.2688.88 ± 1.7460.45 ± 1.68Statlog-shuttle84.19 ± 0.4391.64 ± 0.8999.96 ± 0.0399.94 ± 0.0499.75 ± 0.0599.80 ± 0.0599.80 ± 0.0499.69 ± 0.0499.71 ± 0.0794.69 ± 0.30Statlog-vehicle66.55 ± 2.7144.80 ± 3.4072.23 ± 5.9369.86 ± 4.4776.72 ± 3.8880.26 ± 2.6080.50 ± 2.3682.28 ± 3.1580.75 ± 4.6251.19 ± 5.09Steel-plates61.62 ± 2.9560.28 ± 3.8476.04 ± 3.3071.97 ± 2.7375.53 ± 2.7776.97 ± 2.2776.87 ± 2.9272.70 ± 2.8672.65 ± 3.1748.17 ± 3.88Synthetic-control89.00 ± 2.7494.67 ± 3.5091.67 ± 3.5196.50 ± 2.1499.33 ± 0.8699.50 ± 0.8199.50 ± 0.8199.33 ± 0.8699.33 ± 0.8657.00 ± 3.83Teaching50.25 ± 11.2854.21 ± 8.3759.58 ± 11.5762.29 ± 13.5456.17 ± 14.7061.50 ± 12.6862.17 ± 12.3754.29 ± 11.1152.29 ± 9.4146.38 ± 10.93Thoraricsurgery85.11 ± 0.0078.51 ± 9.2784.47 ± 1.0377.23 ± 5.9485.11 ± 0.0084.47 ± 1.0384.47 ± 1.0379.15 ± 4.2379.79 ± 5.4283.40 ± 1.68Thyroid85.19 ± 7.4296.73 ± 3.8492.06 ± 6.3297.21 ± 2.4075.87 ± 5.0177.23 ± 4.5177.23 ± 4.5196.75 ± 3.1096.75 ± 3.1090.69 ± 8.54Thyroid-train92.47 ± 0.1395.63 ± 1.1099.71 ± 0.3292.13 ± 1.3295.10 ± 0.6895.68 ± 0.6096.26 ± 0.6396.58 ± 1.0596.00 ± 1.3096.47 ± 0.78Tic-tac-toe65.34 ± 0.4369.62 ± 3.5693.84 ± 2.44100.00 ± 0.0098.64 ± 1.4099.27 ± 1.0099.69 ± 0.7197.81 ± 1.0497.91 ± 1.2169.93 ± 2.39Titanic78.05 ± 2.4675.37 ± 2.8679.05 ± 1.7879.05 ± 1.7878.46 ± 2.1978.92 ± 2.0178.92 ± 2.0178.15 ± 2.2677.42 ± 2.1977.60 ± 2.02Trains70.00 ± 48.3060.00 ± 51.6470.00 ± 48.3060.00 ± 51.6460.00 ± 51.6470.00 ± 48.3070.00 ± 48.3080.00 ± 42.1680.00 ± 42.160.00 ± 0.00Transfusion76.88 ± 1.3475.40 ± 3.4477.81 ± 3.7770.45 ± 4.4575.27 ± 2.8972.99 ± 3.0671.92 ± 3.7278.21 ± 2.4778.48 ± 2.8076.34 ± 1.66Trial94.08 ± 2.9090.34 ± 3.48100.00 ± 0.0099.74 ± 0.8299.10 ± 0.8799.36 ± 0.6899.36 ± 0.6899.23 ± 0.9099.36 ± 0.91100.00 ± 0.00Turkiye-student-evaluation61.87 ± 0.0586.99 ± 1.5299.97 ± 0.0790.41 ± 1.5895.50 ± 0.5296.27 ± 0.5996.27 ± 0.59100.00 ± 0.00100.00 ± 0.0099.97 ± 0.07Unbalanced98.60 ± 0.4990.77 ± 4.4498.60 ± 0.4997.66 ± 1.5798.60 ± 0.4998.37 ± 0.6098.13 ± 0.8198.13 ± 1.1297.90 ± 1.0898.60 ± 0.49Urbanlandcover80.18 ± 10.2678.49 ± 9.2279.08 ± 7.8076.65 ± 11.0717.28 ± 1.9917.28 ± 1.9917.28 ± 1.9977.21 ± 12.4377.21 ± 12.4349.23 ± 14.54Userknowledgemodeling63.91 ± 7.9089.34 ± 5.7994.02 ± 3.4180.58 ± 10.1477.74 ± 6.4285.29 ± 4.3185.69 ± 3.9391.29 ± 3.5993.25 ± 4.5885.31 ± 7.80Vehicle69.27 ± 4.2944.80 ± 4.7272.47 ± 5.8769.86 ± 4.4730.50 ± 2.5431.32 ± 3.0731.32 ± 3.0781.70 ± 3.8281.21 ± 4.4351.90 ± 5.04Vertebral-column-2classes74.52 ± 8.9377.74 ± 7.0481.61 ± 7.9181.94 ± 5.0985.48 ± 5.3284.52 ± 6.2384.84 ± 5.7084.52 ± 6.7784.19 ± 6.1773.87 ± 7.67Vertebral-column-3classes70.00 ± 10.3283.23 ± 5.8582.26 ± 6.1378.71 ± 4.8683.87 ± 5.8984.84 ± 6.9884.19 ± 6.7185.16 ± 4.8684.52 ± 6.0475.16 ± 6.98Veteran71.48 ± 2.7072.09 ± 8.9672.20 ± 6.8060.66 ± 8.8670.77 ± 1.0670.77 ± 1.0670.77 ± 1.0660.60 ± 14.5067.14 ± 15.6473.57 ± 7.61Vowel62.42 ± 3.4363.74 ± 4.4381.52 ± 4.7299.29 ± 0.8385.05 ± 2.6091.11 ± 2.0192.93 ± 2.0892.83 ± 3.4593.54 ± 2.3932.02 ± 4.21Wall-following91.86 ± 1.2252.47 ± 1.3899.65 ± 0.2588.18 ± 1.2189.00 ± 1.4190.60 ± 1.5891.35 ± 1.3087.48 ± 1.4087.99 ± 1.9575.64 ± 1.43Waveform-noise67.18 ± 2.2080.00 ± 1.9375.16 ± 1.3773.62 ± 1.2786.14 ± 1.5185.38 ± 1.2884.90 ± 1.4183.54 ± 1.6483.08 ± 1.4353.72 ± 2.75Waveform70.94 ± 1.4581.02 ± 1.3875.88 ± 1.3176.90 ± 2.0186.42 ± 1.3685.66 ± 1.3885.46 ± 1.4383.84 ± 1.1583.16 ± 1.2852.54 ± 1.64Wbc96.92 ± 2.0297.51 ± 1.3992.98 ± 2.0295.76 ± 2.5297.66 ± 1.5897.66 ± 1.5897.80 ± 1.7395.76 ± 1.5996.19 ± 1.8591.06 ± 2.91Wdbc93.68 ± 3.7192.98 ± 4.3093.33 ± 3.9495.96 ± 1.8762.74 ± 0.7362.74 ± 0.7362.74 ± 0.7396.66 ± 1.7695.96 ± 2.3589.81 ± 3.17Weathernominal65.00 ± 41.1660.00 ± 39.4455.00 ± 43.7865.00 ± 41.1670.00 ± 34.9660.00 ± 39.4475.00 ± 35.3675.00 ± 35.3675.00 ± 35.3645.00 ± 43.78Weathernumeric55.00 ± 43.7870.00 ± 34.9670.00 ± 42.1680.00 ± 34.9670.00 ± 34.9650.00 ± 47.1450.00 ± 47.1475.00 ± 42.4975.00 ± 42.4945.00 ± 43.78Website-phishingdata82.41 ± 2.2484.11 ± 1.9090.76 ± 2.0888.32 ± 2.7785.66 ± 1.2786.18 ± 1.2087.65 ± 2.0588.77 ± 1.9489.80 ± 2.4681.74 ± 1.63Wholesalecustomersdata89.55 ± 2.2089.09 ± 3.8390.23 ± 3.0487.95 ± 4.8067.73 ± 0.9667.73 ± 0.9667.73 ± 0.9691.59 ± 3.4090.91 ± 4.0190.45 ± 3.68Wifi-localization92.60 ± 1.6898.20 ± 0.7197.15 ± 0.6398.30 ± 0.8979.05 ± 2.4980.45 ± 2.5880.45 ± 2.5897.90 ± 0.3997.95 ± 0.6979.00 ± 4.45Wilt94.61 ± 0.0789.17 ± 1.8298.20 ± 0.4694.88 ± 0.5894.77 ± 0.1494.77 ± 0.1494.77 ± 0.1497.85 ± 0.8798.12 ± 0.5894.46 ± 0.21Wine-quality-red61.98 ± 3.5755.10 ± 4.5961.16 ± 2.9864.79 ± 2.7362.79 ± 2.4863.17 ± 2.6863.29 ± 2.7060.48 ± 3.8160.60 ± 3.0754.66 ± 3.11Wine-quality-white57.17 ± 1.9744.10 ± 1.2058.35 ± 2.8065.40 ± 2.5057.00 ± 2.2857.86 ± 2.4758.11 ± 2.6455.25 ± 2.3254.61 ± 1.4645.75 ± 2.15Wine96.11 ± 5.8996.63 ± 5.3893.86 ± 5.5294.97 ± 4.1198.89 ± 2.3498.30 ± 2.7498.30 ± 2.7497.19 ± 3.9697.19 ± 3.9676.96 ± 9.24Yamilnaduelectricty19.88 ± 1.296.65 ± 0.3714.06 ± 1.0921.21 ± 1.316.65 ± 0.556.82 ± 0.566.70 ± 0.616.40 ± 0.726.40 ± 0.697.45 ± 1.12Yeast46.83 ± 2.5857.81 ± 2.6555.99 ± 4.8552.29 ± 2.3960.24 ± 4.0860.31 ± 4.2460.44 ± 4.5059.43 ± 3.4958.82 ± 3.3940.02 ± 3.39Youtobe-kabita-preprocessing33.18 ± 2.3226.61 ± 1.0234.18 ± 1.7731.94 ± 1.5537.33 ± 2.3736.22 ± 2.1935.53 ± 2.1033.49 ± 1.2933.67 ± 2.0432.37 ± 2.01Youtobe-nisha-preprocessing37.02 ± 1.8233.14 ± 1.9038.51 ± 1.2535.49 ± 1.8440.45 ± 2.1339.22 ± 2.1038.82 ± 2.2237.49 ± 1.9536.22 ± 2.3731.22 ± 1.32Z-alizadehsani71.29 ± 1.4779.87 ± 6.5979.25 ± 8.3278.26 ± 7.0271.29 ± 1.4771.29 ± 1.4771.29 ± 1.4782.25 ± 7.8681.59 ± 7.3470.66 ± 5.28Zoo91.18 ± 8.5296.18 ± 6.5492.18 ± 8.9496.18 ± 6.5494.18 ± 8.1194.18 ± 8.1194.18 ± 8.1195.18 ± 6.6595.18 ± 6.6573.27 ± 10.54Average acc (rank)73.57 (5)72.05 (8)78.53 (1)76.87 (4)71.96 (9)72.66 (7)73.01 (6)77.95 (2)77.84 (3)67.16 (10)Average acc std (rank)4.85 (4)6.41 (10)5.86 (6)6.07 (7)4.20 (1)4.52 (2)4.58 (3)6.10 (8)6.18 (9)5.63 (5)Table 7
The detailed experimental results on kappa statistic and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone0.38 ± 0.040.36 ± 0.030.41 ± 0.030.37 ± 0.040.50 ± 0.040.50 ± 0.040.50 ± 0.030.48 ± 0.050.48 ± 0.060.41 ± 0.03Absenteeism-at-work0.98 ± 0.030.71 ± 0.080.99 ± 0.010.67 ± 0.060.67 ± 0.070.67 ± 0.070.67 ± 0.070.95 ± 0.020.94 ± 0.050.90 ± 0.04Acute-inflammation1.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.58 ± 0.16Acute-nephritis1.00 ± 0.000.89 ± 0.151.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.84 ± 0.15Adult0.00 ± 0.000.34 ± 0.090.47 ± 0.100.41 ± 0.100.47 ± 0.130.49 ± 0.140.50 ± 0.140.44 ± 0.080.42 ± 0.080.26 ± 0.07Aggregation0.81 ± 0.071.00 ± 0.011.00 ± 0.011.00 ± 0.011.00 ± 0.011.00 ± 0.011.00 ± 0.010.99 ± 0.010.99 ± 0.010.47 ± 0.04Algerianforest0.78 ± 0.170.89 ± 0.100.91 ± 0.090.76 ± 0.140.06 ± 0.050.14 ± 0.090.14 ± 0.090.92 ± 0.080.93 ± 0.090.94 ± 0.10Annealing0.00 ± 0.000.50 ± 0.050.91 ± 0.050.74 ± 0.060.67 ± 0.100.76 ± 0.080.78 ± 0.060.78 ± 0.080.77 ± 0.080.44 ± 0.00Arrhythmia0.00 ± 0.000.43 ± 0.110.46 ± 0.100.24 ± 0.050.25 ± 0.050.35 ± 0.080.35 ± 0.080.46 ± 0.090.30 ± 0.120.21 ± 0.06Au1-10000.00 ± 0.000.04 ± 0.060.35 ± 0.120.15 ± 0.110.00 ± 0.000.00 ± 0.000.02 ± 0.040.17 ± 0.120.22 ± 0.110.00 ± 0.00Au4-25000.30 ± 0.110.22 ± 0.080.51 ± 0.100.35 ± 0.080.29 ± 0.050.29 ± 0.050.29 ± 0.050.37 ± 0.080.37 ± 0.090.15 ± 0.08Au6-10000.00 ± 0.020.02 ± 0.040.06 ± 0.05-0.01 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.04-0.01 ± 0.050.08 ± 0.03Au6-250-drift-au6-cd1-5000.02 ± 0.030.04 ± 0.050.05 ± 0.050.01 ± 0.050.00 ± 0.000.00 ± 0.000.00 ± 0.00-0.00 ± 0.030.01 ± 0.040.08 ± 0.04Au6-cd1-4000.03 ± 0.090.08 ± 0.070.24 ± 0.080.01 ± 0.090.00 ± 0.000.00 ± 0.000.00 ± 0.000.04 ± 0.080.03 ± 0.080.11 ± 0.08Au7-300-drift-au7-cpd1-8000.05 ± 0.050.15 ± 0.050.21 ± 0.060.14 ± 0.050.01 ± 0.020.01 ± 0.030.01 ± 0.030.15 ± 0.050.17 ± 0.060.03 ± 0.04Au7-7000.11 ± 0.100.14 ± 0.080.28 ± 0.060.03 ± 0.080.04 ± 0.040.03 ± 0.040.03 ± 0.040.11 ± 0.080.15 ± 0.050.17 ± 0.06Au7-cpd1-5000.03 ± 0.040.10 ± 0.080.37 ± 0.060.17 ± 0.08-0.00 ± 0.010.01 ± 0.030.01 ± 0.030.18 ± 0.080.16 ± 0.070.12 ± 0.07Audiology-std0.03 ± 0.040.69 ± 0.120.72 ± 0.090.70 ± 0.140.55 ± 0.100.61 ± 0.130.65 ± 0.100.81 ± 0.080.80 ± 0.050.30 ± 0.02Audit-risk0.80 ± 0.090.88 ± 0.041.00 ± 0.010.95 ± 0.030.97 ± 0.030.97 ± 0.030.98 ± 0.030.93 ± 0.060.93 ± 0.061.00 ± 0.00Autism-adolescent-data0.55 ± 0.200.96 ± 0.091.00 ± 0.000.79 ± 0.150.92 ± 0.110.89 ± 0.110.92 ± 0.110.78 ± 0.220.78 ± 0.221.00 ± 0.00Autism-adult-data0.49 ± 0.130.93 ± 0.061.00 ± 0.000.87 ± 0.090.98 ± 0.030.99 ± 0.020.99 ± 0.031.00 ± 0.001.00 ± 0.001.00 ± 0.00Autism-child-data0.83 ± 0.100.98 ± 0.031.00 ± 0.000.77 ± 0.070.99 ± 0.021.00 ± 0.001.00 ± 0.000.99 ± 0.020.99 ± 0.021.00 ± 0.00Autos0.62 ± 0.130.45 ± 0.160.78 ± 0.100.70 ± 0.130.03 ± 0.060.05 ± 0.070.05 ± 0.070.70 ± 0.080.70 ± 0.060.49 ± 0.13Avila0.96 ± 0.010.18 ± 0.020.92 ± 0.020.68 ± 0.030.56 ± 0.030.59 ± 0.030.61 ± 0.030.48 ± 0.030.49 ± 0.040.62 ± 0.03Balance-scale0.62 ± 0.050.82 ± 0.030.58 ± 0.060.67 ± 0.070.82 ± 0.030.87 ± 0.020.89 ± 0.020.84 ± 0.060.84 ± 0.060.19 ± 0.08Balloons0.50 ± 0.530.30 ± 0.480.40 ± 0.520.60 ± 0.520.50 ± 0.530.70 ± 0.480.70 ± 0.480.50 ± 0.530.50 ± 0.530.10 ± 0.57Bank0.00 ± 0.000.31 ± 0.060.36 ± 0.070.22 ± 0.060.27 ± 0.060.31 ± 0.050.34 ± 0.080.35 ± 0.080.37 ± 0.080.20 ± 0.07Blood0.05 ± 0.070.12 ± 0.080.34 ± 0.120.11 ± 0.110.20 ± 0.100.26 ± 0.050.26 ± 0.050.28 ± 0.090.30 ± 0.100.06 ± 0.08Breast-cancer-wisc-diag0.86 ± 0.080.85 ± 0.090.86 ± 0.080.91 ± 0.040.95 ± 0.050.95 ± 0.040.96 ± 0.020.92 ± 0.040.92 ± 0.040.77 ± 0.09Breast-cancer-wisc-prog0.00 ± 0.000.21 ± 0.290.29 ± 0.180.23 ± 0.290.20 ± 0.270.24 ± 0.340.24 ± 0.330.26 ± 0.260.27 ± 0.290.01 ± 0.21Breast-cancer-wisc0.91 ± 0.050.91 ± 0.040.86 ± 0.070.90 ± 0.070.94 ± 0.040.93 ± 0.040.93 ± 0.040.89 ± 0.080.90 ± 0.050.83 ± 0.11Breast-cancer0.01 ± 0.050.23 ± 0.180.21 ± 0.120.27 ± 0.180.23 ± 0.150.24 ± 0.160.22 ± 0.140.28 ± 0.180.18 ± 0.100.16 ± 0.13Breast-tissue0.61 ± 0.160.59 ± 0.180.59 ± 0.190.65 ± 0.170.49 ± 0.170.61 ± 0.200.63 ± 0.200.56 ± 0.110.55 ± 0.190.44 ± 0.12Bupa0.29 ± 0.110.19 ± 0.150.22 ± 0.180.21 ± 0.100.03 ± 0.050.03 ± 0.050.03 ± 0.050.30 ± 0.150.34 ± 0.140.05 ± 0.16Caesarian0.44 ± 0.310.31 ± 0.380.17 ± 0.350.25 ± 0.33-0.02 ± 0.090.20 ± 0.250.16 ± 0.290.11 ± 0.410.11 ± 0.44-0.00 ± 0.37Car0.00 ± 0.000.63 ± 0.090.95 ± 0.020.93 ± 0.030.94 ± 0.020.96 ± 0.020.96 ± 0.020.85 ± 0.030.86 ± 0.040.00 ± 0.00Cardiotocography-10classes0.58 ± 0.030.66 ± 0.030.80 ± 0.030.74 ± 0.030.77 ± 0.030.79 ± 0.030.80 ± 0.030.80 ± 0.040.78 ± 0.040.34 ± 0.03Cardiotocography-3classes0.00 ± 0.010.60 ± 0.060.81 ± 0.070.78 ± 0.050.75 ± 0.050.78 ± 0.060.78 ± 0.050.78 ± 0.030.78 ± 0.070.38 ± 0.12Cervical-cancer0.24 ± 0.300.76 ± 0.230.64 ± 0.330.71 ± 0.280.00 ± 0.000.12 ± 0.250.12 ± 0.250.82 ± 0.260.82 ± 0.260.37 ± 0.28Chemicalcomposionofceramic1.00 ± 0.001.00 ± 0.000.97 ± 0.081.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.00Chess-krvk0.15 ± 0.020.21 ± 0.020.46 ± 0.030.44 ± 0.040.39 ± 0.030.42 ± 0.030.43 ± 0.030.38 ± 0.030.36 ± 0.020.13 ± 0.02Chess-krvkp0.53 ± 0.030.71 ± 0.040.99 ± 0.010.91 ± 0.030.97 ± 0.020.98 ± 0.010.98 ± 0.010.98 ± 0.010.98 ± 0.010.32 ± 0.03Congressional-voting-0.00 ± 0.01-0.02 ± 0.16-0.03 ± 0.050.02 ± 0.130.04 ± 0.100.05 ± 0.120.04 ± 0.130.06 ± 0.170.04 ± 0.170.06 ± 0.07Conn-bench-sonar-mines-rocks0.53 ± 0.150.38 ± 0.180.42 ± 0.140.73 ± 0.140.68 ± 0.140.74 ± 0.160.77 ± 0.160.61 ± 0.220.64 ± 0.170.27 ± 0.21Conn-bench-vowel-deterding0.73 ± 0.030.62 ± 0.060.77 ± 0.070.99 ± 0.010.94 ± 0.020.97 ± 0.020.98 ± 0.020.83 ± 0.030.81 ± 0.040.29 ± 0.05Connect-40.00 ± 0.000.13 ± 0.070.45 ± 0.050.25 ± 0.070.00 ± 0.010.11 ± 0.040.21 ± 0.060.29 ± 0.050.33 ± 0.050.00 ± 0.00Connectionist0.56 ± 0.180.36 ± 0.220.48 ± 0.150.74 ± 0.120.19 ± 0.170.37 ± 0.240.44 ± 0.250.67 ± 0.180.67 ± 0.170.25 ± 0.14Contrac0.12 ± 0.060.23 ± 0.080.27 ± 0.060.12 ± 0.050.28 ± 0.040.29 ± 0.050.28 ± 0.060.31 ± 0.050.32 ± 0.050.15 ± 0.04Covid-190.60 ± 0.520.53 ± 0.500.63 ± 0.480.50 ± 0.550.40 ± 0.520.43 ± 0.500.53 ± 0.500.53 ± 0.500.53 ± 0.500.73 ± 0.44Credit-approval0.63 ± 0.090.52 ± 0.080.70 ± 0.080.64 ± 0.120.71 ± 0.110.70 ± 0.100.69 ± 0.090.70 ± 0.050.68 ± 0.080.71 ± 0.09Crowdsource0.29 ± 0.060.64 ± 0.050.76 ± 0.030.90 ± 0.020.27 ± 0.040.27 ± 0.040.27 ± 0.040.84 ± 0.040.84 ± 0.050.53 ± 0.05Crx0.66 ± 0.100.53 ± 0.070.72 ± 0.080.62 ± 0.100.03 ± 0.080.09 ± 0.110.12 ± 0.130.66 ± 0.090.67 ± 0.060.71 ± 0.09Cryother0.79 ± 0.280.66 ± 0.330.87 ± 0.160.80 ± 0.160.64 ± 0.260.66 ± 0.260.66 ± 0.260.75 ± 0.200.73 ± 0.180.62 ± 0.21Cylinder-bands0.16 ± 0.100.23 ± 0.150.41 ± 0.120.34 ± 0.160.46 ± 0.100.55 ± 0.110.60 ± 0.070.43 ± 0.110.45 ± 0.120.23 ± 0.10Dbworld-bodies0.07 ± 0.150.48 ± 0.340.61 ± 0.330.11 ± 0.220.00 ± 0.000.00 ± 0.000.22 ± 0.28//0.72 ± 0.27Dbworld-bodies-stemmed0.07 ± 0.150.51 ± 0.260.74 ± 0.270.24 ± 0.300.00 ± 0.000.11 ± 0.170.44 ± 0.29//0.51 ± 0.37Dbworld-subjects0.00 ± 0.000.79 ± 0.190.48 ± 0.210.61 ± 0.270.00 ± 0.000.00 ± 0.000.00 ± 0.000.79 ± 0.270.76 ± 0.310.20 ± 0.26Dbworld-subjects-stemmed0.00 ± 0.000.73 ± 0.260.54 ± 0.330.68 ± 0.200.00 ± 0.000.00 ± 0.000.00 ± 0.000.76 ± 0.240.73 ± 0.230.25 ± 0.19Dermatology0.81 ± 0.060.97 ± 0.030.96 ± 0.040.94 ± 0.050.97 ± 0.030.97 ± 0.030.97 ± 0.030.98 ± 0.020.97 ± 0.020.33 ± 0.04Diabetes0.29 ± 0.130.46 ± 0.130.41 ± 0.130.33 ± 0.120.00 ± 0.000.00 ± 0.000.00 ± 0.000.45 ± 0.100.45 ± 0.120.32 ± 0.15Diabetic0.28 ± 0.090.17 ± 0.040.29 ± 0.090.23 ± 0.100.13 ± 0.100.16 ± 0.130.16 ± 0.120.44 ± 0.120.45 ± 0.120.06 ± 0.11Divorce0.95 ± 0.060.95 ± 0.060.90 ± 0.110.95 ± 0.060.95 ± 0.060.95 ± 0.060.95 ± 0.060.95 ± 0.060.95 ± 0.060.90 ± 0.11Dota2train0.00 ± 0.000.08 ± 0.070.08 ± 0.110.09 ± 0.080.00 ± 0.000.03 ± 0.080.03 ± 0.07-0.00 ± 0.040.01 ± 0.040.08 ± 0.08Dow-jones-index0.30 ± 0.08-0.01 ± 0.100.45 ± 0.080.09 ± 0.130.00 ± 0.000.00 ± 0.000.00 ± 0.000.09 ± 0.110.09 ± 0.090.13 ± 0.06Dry-bean-dataset0.92 ± 0.020.88 ± 0.020.92 ± 0.010.93 ± 0.010.50 ± 0.040.50 ± 0.040.50 ± 0.040.91 ± 0.020.91 ± 0.020.61 ± 0.02Early-stage-diabetes-data-upload0.64 ± 0.160.73 ± 0.060.92 ± 0.060.96 ± 0.050.88 ± 0.090.89 ± 0.080.90 ± 0.080.92 ± 0.060.92 ± 0.070.65 ± 0.08Echocardiogram0.12 ± 0.210.53 ± 0.260.52 ± 0.220.43 ± 0.260.54 ± 0.220.53 ± 0.280.53 ± 0.280.52 ± 0.200.52 ± 0.250.63 ± 0.18Ecoli0.58 ± 0.070.82 ± 0.070.78 ± 0.100.73 ± 0.080.81 ± 0.060.81 ± 0.060.82 ± 0.050.81 ± 0.070.79 ± 0.050.53 ± 0.10Eegeyesate0.32 ± 0.030.01 ± 0.020.69 ± 0.020.67 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.06 ± 0.040.08 ± 0.050.22 ± 0.03Electrical0.62 ± 0.190.94 ± 0.111.00 ± 0.000.80 ± 0.160.58 ± 0.200.59 ± 0.170.62 ± 0.160.97 ± 0.040.97 ± 0.040.99 ± 0.02Energy-y10.68 ± 0.020.70 ± 0.050.96 ± 0.020.62 ± 0.060.81 ± 0.020.83 ± 0.030.84 ± 0.050.82 ± 0.030.80 ± 0.030.74 ± 0.03Energy-y20.84 ± 0.050.72 ± 0.050.84 ± 0.040.62 ± 0.050.84 ± 0.030.85 ± 0.020.86 ± 0.020.86 ± 0.040.86 ± 0.040.81 ± 0.05Extentionofz-alizadehsani0.00 ± 0.000.84 ± 0.090.99 ± 0.030.78 ± 0.110.00 ± 0.000.00 ± 0.000.00 ± 0.000.95 ± 0.050.95 ± 0.050.71 ± 0.09Fertility0.00 ± 0.000.00 ± 0.00-0.03 ± 0.060.14 ± 0.390.00 ± 0.000.10 ± 0.320.19 ± 0.430.43 ± 0.460.43 ± 0.470.00 ± 0.00First-order0.00 ± 0.000.03 ± 0.031.00 ± 0.000.97 ± 0.030.00 ± 0.000.66 ± 0.140.87 ± 0.070.99 ± 0.020.99 ± 0.020.18 ± 0.20Flags0.28 ± 0.140.34 ± 0.080.51 ± 0.100.31 ± 0.110.38 ± 0.110.41 ± 0.120.40 ± 0.150.34 ± 0.140.37 ± 0.130.45 ± 0.09Foresttypes0.92 ± 0.060.93 ± 0.060.93 ± 0.080.94 ± 0.050.01 ± 0.020.04 ± 0.040.04 ± 0.040.96 ± 0.050.96 ± 0.050.76 ± 0.11Garments-worker-productivity0.23 ± 0.030.07 ± 0.040.29 ± 0.080.02 ± 0.050.09 ± 0.040.10 ± 0.040.11 ± 0.040.20 ± 0.070.20 ± 0.050.08 ± 0.05Gender-name-dataset0.04 ± 0.040.00 ± 0.010.00 ± 0.000.16 ± 0.040.15 ± 0.030.16 ± 0.050.16 ± 0.040.00 ± 0.000.00 ± 0.000.08 ± 0.03Gesture-a1-raw0.83 ± 0.030.61 ± 0.040.87 ± 0.030.95 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.87 ± 0.030.87 ± 0.020.95 ± 0.02Gesture-a1-va30.48 ± 0.040.41 ± 0.050.50 ± 0.070.62 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.55 ± 0.030.55 ± 0.030.39 ± 0.03Gesture-a2-raw0.83 ± 0.030.56 ± 0.040.85 ± 0.040.92 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.85 ± 0.030.85 ± 0.030.92 ± 0.04Gesture-a2-va30.40 ± 0.040.25 ± 0.080.38 ± 0.030.53 ± 0.060.00 ± 0.000.00 ± 0.000.00 ± 0.000.43 ± 0.050.43 ± 0.060.30 ± 0.06Gesture-a3-raw0.87 ± 0.030.49 ± 0.050.90 ± 0.020.95 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.86 ± 0.020.85 ± 0.030.94 ± 0.02Gesture-a3-va30.42 ± 0.040.31 ± 0.040.68 ± 0.040.86 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.51 ± 0.050.53 ± 0.040.30 ± 0.03Gesture-b1-raw0.88 ± 0.040.33 ± 0.070.90 ± 0.040.93 ± 0.040.01 ± 0.010.01 ± 0.010.01 ± 0.010.83 ± 0.060.85 ± 0.030.88 ± 0.03Gesture-b1-va30.43 ± 0.090.16 ± 0.080.59 ± 0.060.87 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.47 ± 0.050.49 ± 0.070.18 ± 0.06Gesture-b3-raw0.86 ± 0.040.45 ± 0.050.88 ± 0.040.94 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.85 ± 0.050.84 ± 0.050.94 ± 0.03Gesture-b3-va30.25 ± 0.050.30 ± 0.050.44 ± 0.050.71 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.45 ± 0.070.42 ± 0.070.19 ± 0.08Gesture-c1-raw0.83 ± 0.040.54 ± 0.030.86 ± 0.030.93 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.84 ± 0.040.84 ± 0.050.92 ± 0.03Gesture-c1-va30.39 ± 0.050.38 ± 0.050.46 ± 0.050.62 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.54 ± 0.040.52 ± 0.050.25 ± 0.06Gesture-c3-raw0.85 ± 0.030.49 ± 0.070.84 ± 0.050.91 ± 0.030.00 ± 0.000.00 ± 0.000.00 ± 0.000.82 ± 0.040.79 ± 0.030.93 ± 0.02Gesture-c3-va30.31 ± 0.050.30 ± 0.030.42 ± 0.050.51 ± 0.060.00 ± 0.000.00 ± 0.000.00 ± 0.000.45 ± 0.050.43 ± 0.070.25 ± 0.04Glass0.52 ± 0.160.36 ± 0.130.56 ± 0.110.60 ± 0.110.61 ± 0.100.60 ± 0.120.59 ± 0.120.54 ± 0.130.55 ± 0.080.38 ± 0.13Go-track-tracks0.67 ± 0.210.65 ± 0.090.75 ± 0.160.82 ± 0.170.44 ± 0.260.44 ± 0.240.44 ± 0.240.68 ± 0.210.69 ± 0.180.52 ± 0.26Haberman-survival0.03 ± 0.110.19 ± 0.160.17 ± 0.160.09 ± 0.160.11 ± 0.140.09 ± 0.100.09 ± 0.100.20 ± 0.190.23 ± 0.200.18 ± 0.15Hayes-roth0.47 ± 0.160.62 ± 0.200.70 ± 0.100.71 ± 0.100.79 ± 0.110.71 ± 0.100.70 ± 0.100.56 ± 0.200.54 ± 0.210.10 ± 0.11Hcc-data0.05 ± 0.130.32 ± 0.200.16 ± 0.160.24 ± 0.190.00 ± 0.000.00 ± 0.000.00 ± 0.000.24 ± 0.320.23 ± 0.240.33 ± 0.24Hcvdat0.10 ± 0.110.66 ± 0.160.66 ± 0.090.52 ± 0.110.00 ± 0.000.00 ± 0.000.00 ± 0.000.69 ± 0.140.67 ± 0.130.44 ± 0.13Heart-cleveland0.00 ± 0.010.31 ± 0.140.23 ± 0.100.29 ± 0.090.28 ± 0.140.32 ± 0.140.30 ± 0.140.27 ± 0.090.28 ± 0.100.10 ± 0.11Heart-hungarian0.52 ± 0.180.59 ± 0.170.52 ± 0.150.51 ± 0.180.59 ± 0.170.60 ± 0.150.62 ± 0.140.52 ± 0.180.51 ± 0.170.53 ± 0.21Heart-switzerland0.10 ± 0.120.18 ± 0.150.15 ± 0.170.06 ± 0.190.06 ± 0.100.10 ± 0.100.13 ± 0.110.19 ± 0.210.20 ± 0.17-0.01 ± 0.18Heart-va0.05 ± 0.120.14 ± 0.130.12 ± 0.090.15 ± 0.100.13 ± 0.130.11 ± 0.110.09 ± 0.120.09 ± 0.130.07 ± 0.140.04 ± 0.13Heart-failure-clinical-records-dataset0.05 ± 0.070.41 ± 0.170.54 ± 0.140.15 ± 0.180.00 ± 0.000.00 ± 0.000.00 ± 0.000.37 ± 0.120.47 ± 0.210.65 ± 0.17Hepatitis0.00 ± 0.000.51 ± 0.300.36 ± 0.330.41 ± 0.230.35 ± 0.290.42 ± 0.400.42 ± 0.400.40 ± 0.350.29 ± 0.34-0.04 ± 0.19Hill-valley-0.00 ± 0.12-0.02 ± 0.05-0.00 ± 0.020.04 ± 0.070.04 ± 0.130.04 ± 0.150.06 ± 0.140.13 ± 0.150.07 ± 0.05-0.05 ± 0.10Hiv1625data0.80 ± 0.060.82 ± 0.050.73 ± 0.080.78 ± 0.050.76 ± 0.070.81 ± 0.070.82 ± 0.070.87 ± 0.060.82 ± 0.070.32 ± 0.08Hiv746data0.85 ± 0.070.82 ± 0.070.65 ± 0.100.73 ± 0.070.79 ± 0.080.82 ± 0.060.82 ± 0.070.85 ± 0.050.85 ± 0.070.61 ± 0.09Horse-colic0.34 ± 0.090.43 ± 0.120.71 ± 0.120.50 ± 0.150.63 ± 0.110.66 ± 0.120.67 ± 0.130.56 ± 0.130.56 ± 0.180.59 ± 0.12Htru0.80 ± 0.040.71 ± 0.020.86 ± 0.030.83 ± 0.020.06 ± 0.030.15 ± 0.030.15 ± 0.030.87 ± 0.020.87 ± 0.020.85 ± 0.02Hypothyroid0.00 ± 0.000.60 ± 0.080.97 ± 0.020.36 ± 0.080.08 ± 0.060.16 ± 0.090.17 ± 0.090.56 ± 0.120.51 ± 0.130.76 ± 0.06Ibeacon-rssi-labeled0.23 ± 0.030.19 ± 0.020.25 ± 0.030.36 ± 0.040.33 ± 0.020.36 ± 0.030.37 ± 0.030.27 ± 0.040.27 ± 0.040.03 ± 0.02Ilpd-indian-liver0.02 ± 0.060.25 ± 0.060.01 ± 0.110.18 ± 0.110.00 ± 0.000.02 ± 0.080.07 ± 0.070.09 ± 0.120.10 ± 0.120.04 ± 0.10Image-segmentation0.86 ± 0.060.74 ± 0.060.87 ± 0.090.85 ± 0.050.85 ± 0.040.85 ± 0.050.84 ± 0.050.88 ± 0.060.88 ± 0.060.52 ± 0.10Immunotherapy0.00 ± 0.000.13 ± 0.330.37 ± 0.390.06 ± 0.450.00 ± 0.000.00 ± 0.000.00 ± 0.000.37 ± 0.380.34 ± 0.280.49 ± 0.30Impensdata0.15 ± 0.090.58 ± 0.110.00 ± 0.000.42 ± 0.120.00 ± 0.000.00 ± 0.000.00 ± 0.000.63 ± 0.090.51 ± 0.160.15 ± 0.07In-vehicle-coupon-recommendation0.01 ± 0.000.29 ± 0.030.39 ± 0.020.28 ± 0.030.36 ± 0.030.37 ± 0.030.38 ± 0.030.39 ± 0.020.41 ± 0.020.20 ± 0.05Indian0.02 ± 0.040.25 ± 0.060.18 ± 0.140.17 ± 0.110.05 ± 0.080.03 ± 0.070.03 ± 0.070.13 ± 0.140.13 ± 0.170.04 ± 0.10Ionosphere0.73 ± 0.080.64 ± 0.110.81 ± 0.070.68 ± 0.110.87 ± 0.050.89 ± 0.070.91 ± 0.070.78 ± 0.060.79 ± 0.080.58 ± 0.17Iris0.72 ± 0.170.90 ± 0.080.94 ± 0.080.93 ± 0.080.95 ± 0.050.94 ± 0.070.95 ± 0.050.96 ± 0.050.96 ± 0.050.88 ± 0.09Jain0.82 ± 0.130.86 ± 0.110.99 ± 0.041.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.87 ± 0.090.87 ± 0.090.86 ± 0.10Jsbach-chorals-harmony0.00 ± 0.000.84 ± 0.030.82 ± 0.030.88 ± 0.030.79 ± 0.040.84 ± 0.020.85 ± 0.040.88 ± 0.030.86 ± 0.050.79 ± 0.03Knowledge0.44 ± 0.100.82 ± 0.160.89 ± 0.090.64 ± 0.120.77 ± 0.140.84 ± 0.130.88 ± 0.110.89 ± 0.080.89 ± 0.080.75 ± 0.14Lasvegastripadvisorreviews-0.01 ± 0.040.03 ± 0.050.02 ± 0.060.01 ± 0.04-0.02 ± 0.04-0.04 ± 0.05-0.01 ± 0.060.01 ± 0.080.02 ± 0.06-0.00 ± 0.04Leaf0.57 ± 0.060.71 ± 0.090.59 ± 0.08-0.00 ± 0.030.14 ± 0.040.21 ± 0.050.23 ± 0.060.49 ± 0.080.46 ± 0.080.21 ± 0.05Led-display0.67 ± 0.040.69 ± 0.030.68 ± 0.040.68 ± 0.040.69 ± 0.050.69 ± 0.040.68 ± 0.040.69 ± 0.040.69 ± 0.040.10 ± 0.01Lenses0.50 ± 0.530.50 ± 0.530.70 ± 0.420.75 ± 0.420.65 ± 0.470.70 ± 0.420.70 ± 0.420.50 ± 0.470.50 ± 0.470.53 ± 0.38Letter0.71 ± 0.010.63 ± 0.010.87 ± 0.010.96 ± 0.000.95 ± 0.000.96 ± 0.000.96 ± 0.000.82 ± 0.010.81 ± 0.010.14 ± 0.00Libras0.65 ± 0.100.61 ± 0.110.68 ± 0.110.85 ± 0.050.80 ± 0.040.84 ± 0.050.86 ± 0.040.79 ± 0.060.80 ± 0.060.15 ± 0.06Low-res-spect0.40 ± 0.080.72 ± 0.050.74 ± 0.050.75 ± 0.060.84 ± 0.040.84 ± 0.040.86 ± 0.040.88 ± 0.050.87 ± 0.040.60 ± 0.08Lung-cancer0.32 ± 0.340.48 ± 0.340.09 ± 0.420.27 ± 0.560.25 ± 0.350.36 ± 0.340.26 ± 0.400.18 ± 0.460.23 ± 0.390.19 ± 0.30Lymphography0.51 ± 0.160.65 ± 0.170.52 ± 0.160.53 ± 0.250.72 ± 0.180.71 ± 0.190.67 ± 0.170.62 ± 0.190.60 ± 0.190.53 ± 0.17Magic0.42 ± 0.040.35 ± 0.060.61 ± 0.050.55 ± 0.050.65 ± 0.050.65 ± 0.040.65 ± 0.030.65 ± 0.050.64 ± 0.040.37 ± 0.10Mammographic0.57 ± 0.070.57 ± 0.070.64 ± 0.040.50 ± 0.100.65 ± 0.040.64 ± 0.050.65 ± 0.050.63 ± 0.060.62 ± 0.060.63 ± 0.03Miniboone0.30 ± 0.090.02 ± 0.010.64 ± 0.060.58 ± 0.050.54 ± 0.080.59 ± 0.070.61 ± 0.060.56 ± 0.050.56 ± 0.050.49 ± 0.06Molec-biol-promoter0.77 ± 0.330.77 ± 0.220.49 ± 0.200.45 ± 0.240.65 ± 0.270.69 ± 0.240.69 ± 0.240.56 ± 0.220.54 ± 0.210.39 ± 0.22Molec-biol-splice0.00 ± 0.000.88 ± 0.030.88 ± 0.030.43 ± 0.030.79 ± 0.030.79 ± 0.030.79 ± 0.020.75 ± 0.040.75 ± 0.030.41 ± 0.03Monks-10.84 ± 0.190.43 ± 0.230.93 ± 0.140.41 ± 0.200.61 ± 0.240.66 ± 0.220.66 ± 0.190.77 ± 0.300.79 ± 0.340.46 ± 0.20Monks-20.00 ± 0.00-0.09 ± 0.210.50 ± 0.240.15 ± 0.24-0.00 ± 0.140.12 ± 0.270.21 ± 0.260.43 ± 0.260.45 ± 0.17-0.04 ± 0.07Monks-30.87 ± 0.170.77 ± 0.120.87 ± 0.170.49 ± 0.330.80 ± 0.150.79 ± 0.160.79 ± 0.160.68 ± 0.220.78 ± 0.140.56 ± 0.08Mushroom0.81 ± 0.020.78 ± 0.021.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.97 ± 0.01Musk-10.67 ± 0.120.48 ± 0.130.70 ± 0.130.70 ± 0.090.81 ± 0.090.85 ± 0.060.87 ± 0.060.88 ± 0.050.87 ± 0.060.22 ± 0.18Musk-20.33 ± 0.070.50 ± 0.060.83 ± 0.060.86 ± 0.030.84 ± 0.050.90 ± 0.040.92 ± 0.030.96 ± 0.030.95 ± 0.030.54 ± 0.07Newdiagnosis1.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.55 ± 0.14Nursery0.82 ± 0.020.85 ± 0.010.99 ± 0.000.84 ± 0.010.97 ± 0.000.98 ± 0.000.98 ± 0.000.94 ± 0.010.92 ± 0.020.57 ± 0.02Obesitydataset-raw-and-data-sinthetic0.80 ± 0.030.62 ± 0.030.93 ± 0.020.79 ± 0.030.88 ± 0.030.90 ± 0.030.91 ± 0.030.93 ± 0.030.93 ± 0.020.62 ± 0.04Obs-network-dataset-2-aug270.94 ± 0.030.60 ± 0.070.99 ± 0.020.99 ± 0.010.97 ± 0.010.97 ± 0.010.97 ± 0.010.95 ± 0.020.97 ± 0.020.86 ± 0.03Occupancy-data0.92 ± 0.020.91 ± 0.020.97 ± 0.020.98 ± 0.010.54 ± 0.060.57 ± 0.060.57 ± 0.060.96 ± 0.020.96 ± 0.020.97 ± 0.02Occupancy-data20.95 ± 0.010.89 ± 0.010.98 ± 0.000.98 ± 0.010.30 ± 0.030.42 ± 0.030.42 ± 0.030.98 ± 0.010.98 ± 0.000.98 ± 0.00Occupancy-data30.95 ± 0.020.93 ± 0.020.99 ± 0.000.98 ± 0.010.28 ± 0.030.37 ± 0.030.37 ± 0.030.96 ± 0.010.96 ± 0.010.98 ± 0.01Old0.76 ± 0.040.88 ± 0.020.90 ± 0.030.95 ± 0.020.90 ± 0.020.90 ± 0.030.91 ± 0.020.94 ± 0.020.94 ± 0.020.77 ± 0.03Online-shoppers-intention0.00 ± 0.000.42 ± 0.030.57 ± 0.020.26 ± 0.030.00 ± 0.000.00 ± 0.010.00 ± 0.010.56 ± 0.030.55 ± 0.060.52 ± 0.04Oocytes-merluccius-nucleus-4d0.24 ± 0.070.20 ± 0.080.42 ± 0.080.39 ± 0.080.40 ± 0.090.49 ± 0.070.52 ± 0.080.58 ± 0.040.56 ± 0.100.16 ± 0.14Oocytes-merluccius-states-2f0.74 ± 0.080.70 ± 0.070.80 ± 0.070.81 ± 0.060.82 ± 0.050.83 ± 0.040.84 ± 0.040.82 ± 0.030.81 ± 0.060.62 ± 0.10Oocytes-trisopterus-nucleus-2f0.23 ± 0.110.13 ± 0.100.43 ± 0.130.48 ± 0.110.60 ± 0.080.66 ± 0.070.65 ± 0.060.65 ± 0.080.63 ± 0.090.16 ± 0.13Oocytes-trisopterus-states-5b0.65 ± 0.100.51 ± 0.090.77 ± 0.050.82 ± 0.080.83 ± 0.070.84 ± 0.060.85 ± 0.050.87 ± 0.050.87 ± 0.060.58 ± 0.06Optdigits0.88 ± 0.010.90 ± 0.010.90 ± 0.020.98 ± 0.010.70 ± 0.020.72 ± 0.020.72 ± 0.020.98 ± 0.010.98 ± 0.010.19 ± 0.01Optical0.87 ± 0.020.91 ± 0.010.89 ± 0.020.98 ± 0.010.98 ± 0.010.99 ± 0.010.99 ± 0.010.98 ± 0.010.98 ± 0.010.20 ± 0.01Ozone0.00 ± 0.000.09 ± 0.030.20 ± 0.130.16 ± 0.120.00 ± 0.000.00 ± 0.000.00 ± 0.000.30 ± 0.180.32 ± 0.16-0.00 ± 0.01Page-blocks0.45 ± 0.090.55 ± 0.050.83 ± 0.020.78 ± 0.030.77 ± 0.050.79 ± 0.050.80 ± 0.050.78 ± 0.040.78 ± 0.030.64 ± 0.03Parkingbirmingham0.80 ± 0.020.75 ± 0.021.00 ± 0.000.97 ± 0.010.57 ± 0.040.60 ± 0.040.60 ± 0.040.86 ± 0.020.87 ± 0.021.00 ± 0.00Parkinsons0.45 ± 0.260.40 ± 0.190.47 ± 0.160.91 ± 0.070.59 ± 0.230.67 ± 0.210.73 ± 0.190.76 ± 0.190.72 ± 0.230.57 ± 0.25Pasture0.59 ± 0.340.62 ± 0.350.66 ± 0.340.58 ± 0.410.00 ± 0.000.00 ± 0.000.00 ± 0.000.64 ± 0.400.60 ± 0.420.47 ± 0.36Pbc0.43 ± 0.120.51 ± 0.160.50 ± 0.190.21 ± 0.180.00 ± 0.000.00 ± 0.000.00 ± 0.000.39 ± 0.110.43 ± 0.080.39 ± 0.19Pen0.86 ± 0.010.84 ± 0.010.96 ± 0.010.99 ± 0.000.03 ± 0.010.05 ± 0.010.05 ± 0.010.94 ± 0.010.94 ± 0.000.32 ± 0.02Pendigits0.85 ± 0.010.87 ± 0.020.96 ± 0.010.99 ± 0.001.00 ± 0.001.00 ± 0.001.00 ± 0.000.95 ± 0.010.94 ± 0.010.33 ± 0.02Pharynx0.00 ± 0.00-0.06 ± 0.190.00 ± 0.00-0.08 ± 0.240.07 ± 0.220.09 ± 0.290.04 ± 0.270.01 ± 0.160.02 ± 0.06-0.01 ± 0.08Phishingwebsites0.69 ± 0.020.86 ± 0.010.92 ± 0.010.94 ± 0.010.89 ± 0.010.90 ± 0.010.90 ± 0.010.93 ± 0.010.94 ± 0.010.77 ± 0.01Pima0.28 ± 0.120.46 ± 0.130.41 ± 0.130.33 ± 0.120.44 ± 0.090.43 ± 0.090.43 ± 0.080.45 ± 0.100.45 ± 0.120.32 ± 0.15Pittsburg-bridges-rel-l0.39 ± 0.190.42 ± 0.240.33 ± 0.270.51 ± 0.290.37 ± 0.260.40 ± 0.260.51 ± 0.200.35 ± 0.260.41 ± 0.210.46 ± 0.21Pittsburg-bridges-span0.24 ± 0.180.44 ± 0.250.32 ± 0.250.29 ± 0.280.39 ± 0.250.38 ± 0.280.37 ± 0.280.42 ± 0.180.46 ± 0.220.12 ± 0.23Pittsburg-bridges-t-or-d0.00 ± 0.000.19 ± 0.400.09 ± 0.340.30 ± 0.430.09 ± 0.320.24 ± 0.450.31 ± 0.450.30 ± 0.530.29 ± 0.540.38 ± 0.43Pittsburg-bridges-type0.32 ± 0.170.41 ± 0.160.48 ± 0.130.44 ± 0.160.34 ± 0.170.47 ± 0.240.49 ± 0.190.47 ± 0.220.46 ± 0.210.36 ± 0.09Pittsburg-bridgesmaterial0.50 ± 0.280.59 ± 0.170.65 ± 0.230.61 ± 0.250.62 ± 0.150.60 ± 0.130.59 ± 0.210.60 ± 0.180.52 ± 0.160.62 ± 0.14Planning0.03 ± 0.08-0.01 ± 0.150.00 ± 0.000.12 ± 0.200.00 ± 0.000.01 ± 0.15-0.05 ± 0.140.00 ± 0.18-0.07 ± 0.20-0.08 ± 0.18Plant-margin0.63 ± 0.040.85 ± 0.030.48 ± 0.050.74 ± 0.030.83 ± 0.020.85 ± 0.030.85 ± 0.030.83 ± 0.020.83 ± 0.030.07 ± 0.02Plant-shape0.49 ± 0.040.53 ± 0.030.46 ± 0.030.64 ± 0.030.48 ± 0.020.56 ± 0.030.60 ± 0.030.64 ± 0.040.65 ± 0.030.08 ± 0.02Plant-texture0.62 ± 0.030.74 ± 0.030.51 ± 0.040.80 ± 0.030.83 ± 0.030.85 ± 0.020.86 ± 0.020.84 ± 0.020.83 ± 0.020.03 ± 0.01Poker-hand-training-true0.00 ± 0.000.00 ± 0.000.20 ± 0.030.06 ± 0.010.22 ± 0.020.21 ± 0.020.20 ± 0.020.11 ± 0.020.08 ± 0.030.00 ± 0.00Post-operative0.00 ± 0.00-0.03 ± 0.140.00 ± 0.00-0.06 ± 0.240.00 ± 0.00-0.02 ± 0.10-0.02 ± 0.16-0.10 ± 0.22-0.09 ± 0.27-0.03 ± 0.07Primary-tumor0.01 ± 0.020.36 ± 0.110.35 ± 0.100.27 ± 0.090.37 ± 0.130.36 ± 0.120.35 ± 0.140.33 ± 0.090.33 ± 0.100.08 ± 0.03Qsarbioconcentration-0.00 ± 0.01-0.01 ± 0.04-0.03 ± 0.060.01 ± 0.15-0.00 ± 0.01-0.02 ± 0.05-0.05 ± 0.06-0.03 ± 0.080.00 ± 0.07-0.01 ± 0.08Qsarbiodegradation0.15 ± 0.070.52 ± 0.060.63 ± 0.080.64 ± 0.050.68 ± 0.060.69 ± 0.050.67 ± 0.060.70 ± 0.050.71 ± 0.060.46 ± 0.09Qualitative-bankruptcy0.98 ± 0.050.98 ± 0.050.96 ± 0.061.00 ± 0.000.97 ± 0.060.97 ± 0.060.99 ± 0.030.98 ± 0.050.98 ± 0.050.97 ± 0.06Ringnorm0.58 ± 0.030.97 ± 0.010.83 ± 0.010.50 ± 0.030.97 ± 0.010.97 ± 0.010.97 ± 0.010.84 ± 0.030.83 ± 0.020.29 ± 0.02Risk-factors-cervical-cancer0.00 ± 0.000.41 ± 0.090.59 ± 0.190.49 ± 0.170.00 ± 0.000.02 ± 0.090.23 ± 0.210.53 ± 0.190.50 ± 0.220.73 ± 0.13Robotnavigation0.88 ± 0.020.36 ± 0.030.99 ± 0.000.82 ± 0.020.85 ± 0.020.87 ± 0.010.88 ± 0.010.82 ± 0.030.82 ± 0.040.61 ± 0.03Sapfile0.15 ± 0.180.30 ± 0.150.16 ± 0.210.09 ± 0.110.14 ± 0.140.17 ± 0.110.19 ± 0.130.19 ± 0.140.17 ± 0.190.05 ± 0.20Sat0.81 ± 0.010.75 ± 0.020.83 ± 0.010.88 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.87 ± 0.020.86 ± 0.010.50 ± 0.02Satelite0.81 ± 0.010.75 ± 0.010.83 ± 0.010.88 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.87 ± 0.010.87 ± 0.010.51 ± 0.02Scadi0.34 ± 0.110.76 ± 0.130.72 ± 0.190.72 ± 0.190.66 ± 0.120.70 ± 0.190.74 ± 0.210.72 ± 0.140.72 ± 0.140.41 ± 0.12Schillingdata0.02 ± 0.020.71 ± 0.040.00 ± 0.000.43 ± 0.060.00 ± 0.000.27 ± 0.090.53 ± 0.050.69 ± 0.060.60 ± 0.100.01 ± 0.02Seeds0.80 ± 0.100.87 ± 0.070.88 ± 0.090.91 ± 0.030.91 ± 0.060.91 ± 0.060.91 ± 0.060.93 ± 0.050.94 ± 0.050.74 ± 0.15Segment0.89 ± 0.030.77 ± 0.020.96 ± 0.010.97 ± 0.010.60 ± 0.030.62 ± 0.030.61 ± 0.030.95 ± 0.010.96 ± 0.010.58 ± 0.03Seismic-bumps0.00 ± 0.000.22 ± 0.09-0.00 ± 0.000.11 ± 0.080.00 ± 0.000.00 ± 0.000.00 ± 0.000.06 ± 0.090.07 ± 0.060.00 ± 0.03Semeion0.76 ± 0.040.84 ± 0.030.73 ± 0.030.91 ± 0.020.95 ± 0.010.96 ± 0.010.96 ± 0.010.92 ± 0.020.92 ± 0.020.11 ± 0.00Setapprocesst10.06 ± 0.190.16 ± 0.410.17 ± 0.450.15 ± 0.24-0.08 ± 0.130.07 ± 0.310.03 ± 0.240.15 ± 0.470.13 ± 0.490.38 ± 0.47Setapprocesst100.00 ± 0.000.01 ± 0.280.05 ± 0.320.09 ± 0.400.00 ± 0.000.00 ± 0.000.00 ± 0.00-0.03 ± 0.50-0.01 ± 0.410.00 ± 0.20Setapprocesst110.00 ± 0.000.08 ± 0.370.24 ± 0.440.08 ± 0.330.00 ± 0.000.00 ± 0.000.00 ± 0.000.20 ± 0.290.29 ± 0.33-0.03 ± 0.21Setapprocesst20.06 ± 0.190.25 ± 0.360.34 ± 0.500.14 ± 0.480.00 ± 0.000.00 ± 0.000.00 ± 0.000.18 ± 0.400.24 ± 0.410.53 ± 0.44Setapprocesst30.00 ± 0.000.22 ± 0.300.12 ± 0.350.18 ± 0.380.00 ± 0.000.00 ± 0.000.00 ± 0.000.23 ± 0.320.18 ± 0.28-0.02 ± 0.35Setapprocesst40.00 ± 0.000.01 ± 0.46-0.12 ± 0.30-0.02 ± 0.410.00 ± 0.000.00 ± 0.000.00 ± 0.00-0.04 ± 0.43-0.07 ± 0.390.23 ± 0.34Setapprocesst50.10 ± 0.210.01 ± 0.30-0.11 ± 0.320.06 ± 0.34-0.02 ± 0.07-0.05 ± 0.10-0.05 ± 0.100.06 ± 0.220.11 ± 0.260.25 ± 0.46Setapprocesst60.00 ± 0.000.24 ± 0.360.14 ± 0.370.09 ± 0.350.00 ± 0.000.00 ± 0.000.00 ± 0.000.11 ± 0.420.10 ± 0.370.05 ± 0.40Setapprocesst70.06 ± 0.190.40 ± 0.380.14 ± 0.450.09 ± 0.360.00 ± 0.000.00 ± 0.000.00 ± 0.000.32 ± 0.460.33 ± 0.43-0.04 ± 0.34Setapprocesst80.00 ± 0.000.35 ± 0.250.37 ± 0.320.08 ± 0.390.00 ± 0.000.00 ± 0.000.00 ± 0.000.23 ± 0.390.21 ± 0.42-0.15 ± 0.20Setapprocesst90.00 ± 0.000.27 ± 0.340.35 ± 0.36-0.04 ± 0.230.00 ± 0.000.00 ± 0.000.00 ± 0.000.32 ± 0.420.27 ± 0.36-0.08 ± 0.30Shillbiddingdataset0.25 ± 0.060.85 ± 0.020.98 ± 0.010.96 ± 0.010.98 ± 0.010.98 ± 0.010.98 ± 0.010.98 ± 0.010.99 ± 0.010.87 ± 0.02Shuttle-landing-control0.90 ± 0.320.70 ± 0.480.90 ± 0.320.90 ± 0.320.90 ± 0.320.90 ± 0.320.90 ± 0.320.80 ± 0.420.70 ± 0.480.80 ± 0.42Somervillehappinesssurvey20150.12 ± 0.260.18 ± 0.200.28 ± 0.340.16 ± 0.250.19 ± 0.220.16 ± 0.200.16 ± 0.230.17 ± 0.190.18 ± 0.230.31 ± 0.32Sonar0.52 ± 0.150.37 ± 0.180.42 ± 0.140.73 ± 0.140.29 ± 0.110.39 ± 0.180.46 ± 0.190.64 ± 0.210.63 ± 0.190.25 ± 0.22Soybean0.65 ± 0.070.91 ± 0.060.86 ± 0.060.86 ± 0.050.89 ± 0.070.91 ± 0.050.91 ± 0.050.89 ± 0.080.90 ± 0.070.22 ± 0.04Spambase0.48 ± 0.030.59 ± 0.030.85 ± 0.030.81 ± 0.020.86 ± 0.020.86 ± 0.020.86 ± 0.020.81 ± 0.030.78 ± 0.130.54 ± 0.04Speaker-accent0.04 ± 0.040.47 ± 0.120.57 ± 0.130.73 ± 0.120.22 ± 0.080.32 ± 0.100.32 ± 0.100.71 ± 0.110.64 ± 0.120.13 ± 0.08Spect0.14 ± 0.230.36 ± 0.420.19 ± 0.40-0.08 ± 0.360.04 ± 0.280.06 ± 0.340.05 ± 0.31-0.05 ± 0.44-0.03 ± 0.380.19 ± 0.28Spectf0.38 ± 0.240.50 ± 0.240.47 ± 0.250.35 ± 0.380.35 ± 0.130.35 ± 0.130.53 ± 0.280.42 ± 0.290.45 ± 0.310.43 ± 0.17Statlog-australian-credit-0.00 ± 0.010.09 ± 0.080.15 ± 0.150.00 ± 0.060.02 ± 0.04-0.00 ± 0.120.02 ± 0.120.06 ± 0.130.04 ± 0.080.09 ± 0.15Statlog-german-credit0.00 ± 0.000.39 ± 0.140.35 ± 0.120.23 ± 0.100.36 ± 0.110.41 ± 0.090.42 ± 0.110.30 ± 0.070.32 ± 0.080.12 ± 0.06Statlog-heart0.66 ± 0.160.66 ± 0.150.52 ± 0.200.50 ± 0.170.65 ± 0.100.60 ± 0.160.59 ± 0.190.56 ± 0.140.60 ± 0.170.41 ± 0.12Statlog-image0.89 ± 0.030.77 ± 0.020.96 ± 0.010.97 ± 0.010.93 ± 0.010.94 ± 0.010.95 ± 0.010.95 ± 0.010.96 ± 0.010.58 ± 0.03Statlog-landsat0.82 ± 0.020.75 ± 0.030.83 ± 0.020.88 ± 0.020.87 ± 0.020.88 ± 0.020.88 ± 0.020.86 ± 0.020.86 ± 0.020.51 ± 0.02Statlog-shuttle0.38 ± 0.020.75 ± 0.031.00 ± 0.001.00 ± 0.000.99 ± 0.000.99 ± 0.000.99 ± 0.000.99 ± 0.000.99 ± 0.000.86 ± 0.01Statlog-vehicle0.55 ± 0.040.27 ± 0.040.63 ± 0.080.60 ± 0.060.69 ± 0.050.74 ± 0.030.74 ± 0.030.76 ± 0.040.74 ± 0.060.35 ± 0.07Steel-plates0.46 ± 0.040.52 ± 0.050.69 ± 0.040.64 ± 0.030.68 ± 0.040.70 ± 0.030.70 ± 0.040.65 ± 0.040.65 ± 0.040.30 ± 0.05Synthetic-control0.87 ± 0.030.94 ± 0.040.90 ± 0.040.96 ± 0.030.99 ± 0.010.99 ± 0.010.99 ± 0.010.99 ± 0.010.99 ± 0.010.48 ± 0.05Teaching0.25 ± 0.170.31 ± 0.130.39 ± 0.170.43 ± 0.200.34 ± 0.220.42 ± 0.190.43 ± 0.180.31 ± 0.170.28 ± 0.140.20 ± 0.16Thoraricsurgery0.00 ± 0.000.05 ± 0.150.00 ± 0.040.04 ± 0.170.00 ± 0.00-0.01 ± 0.02-0.01 ± 0.020.11 ± 0.130.15 ± 0.20-0.01 ± 0.04Thyroid0.61 ± 0.210.92 ± 0.090.83 ± 0.140.94 ± 0.050.27 ± 0.190.34 ± 0.170.34 ± 0.170.93 ± 0.070.93 ± 0.070.79 ± 0.20Thyroid-train0.00 ± 0.000.63 ± 0.100.98 ± 0.020.39 ± 0.100.51 ± 0.100.60 ± 0.080.67 ± 0.080.72 ± 0.100.68 ± 0.090.78 ± 0.05Tic-tac-toe0.00 ± 0.000.27 ± 0.080.86 ± 0.051.00 ± 0.000.97 ± 0.030.98 ± 0.020.99 ± 0.020.95 ± 0.020.95 ± 0.030.34 ± 0.05Titanic0.40 ± 0.070.42 ± 0.060.43 ± 0.050.43 ± 0.050.43 ± 0.060.43 ± 0.060.43 ± 0.060.44 ± 0.060.42 ± 0.060.44 ± 0.05Trains0.70 ± 0.480.60 ± 0.520.70 ± 0.480.60 ± 0.520.60 ± 0.520.70 ± 0.480.70 ± 0.480.80 ± 0.420.80 ± 0.420.00 ± 0.00Transfusion0.05 ± 0.070.16 ± 0.100.34 ± 0.120.12 ± 0.120.08 ± 0.110.06 ± 0.090.04 ± 0.100.28 ± 0.090.30 ± 0.100.06 ± 0.08Trial0.87 ± 0.070.80 ± 0.071.00 ± 0.000.99 ± 0.020.98 ± 0.020.99 ± 0.010.99 ± 0.010.98 ± 0.020.99 ± 0.021.00 ± 0.00Turkiye-student-evaluation0.00 ± 0.000.75 ± 0.031.00 ± 0.000.82 ± 0.030.91 ± 0.010.93 ± 0.010.93 ± 0.011.00 ± 0.001.00 ± 0.001.00 ± 0.00Unbalanced0.00 ± 0.000.07 ± 0.130.00 ± 0.000.16 ± 0.360.00 ± 0.00-0.00 ± 0.00-0.01 ± 0.01-0.00 ± 0.010.04 ± 0.160.00 ± 0.00Urbanlandcover0.77 ± 0.120.75 ± 0.110.76 ± 0.090.73 ± 0.130.00 ± 0.000.00 ± 0.000.00 ± 0.000.74 ± 0.140.74 ± 0.140.42 ± 0.16Userknowledgemodeling0.48 ± 0.110.85 ± 0.080.92 ± 0.050.73 ± 0.140.67 ± 0.100.79 ± 0.060.79 ± 0.060.88 ± 0.050.90 ± 0.070.79 ± 0.11Vehicle0.59 ± 0.060.27 ± 0.060.63 ± 0.080.60 ± 0.060.07 ± 0.030.08 ± 0.040.08 ± 0.040.76 ± 0.050.75 ± 0.060.36 ± 0.07Vertebral-column-2classes0.34 ± 0.230.55 ± 0.130.57 ± 0.160.60 ± 0.110.66 ± 0.130.64 ± 0.150.65 ± 0.140.63 ± 0.170.62 ± 0.160.43 ± 0.15Vertebral-column-3classes0.50 ± 0.180.73 ± 0.090.72 ± 0.090.66 ± 0.080.74 ± 0.090.76 ± 0.110.75 ± 0.100.77 ± 0.070.76 ± 0.090.59 ± 0.11Veteran0.03 ± 0.100.22 ± 0.210.36 ± 0.170.07 ± 0.210.00 ± 0.000.00 ± 0.000.00 ± 0.000.06 ± 0.340.19 ± 0.350.35 ± 0.18Vowel0.59 ± 0.040.60 ± 0.050.80 ± 0.050.99 ± 0.010.84 ± 0.030.90 ± 0.020.92 ± 0.020.92 ± 0.040.93 ± 0.030.25 ± 0.05Wall-following0.88 ± 0.020.36 ± 0.020.99 ± 0.000.82 ± 0.020.83 ± 0.020.86 ± 0.020.87 ± 0.020.81 ± 0.020.82 ± 0.030.61 ± 0.02Waveform-noise0.51 ± 0.030.70 ± 0.030.63 ± 0.020.60 ± 0.020.79 ± 0.020.78 ± 0.020.77 ± 0.020.75 ± 0.020.75 ± 0.020.31 ± 0.04Waveform0.56 ± 0.020.72 ± 0.020.64 ± 0.020.65 ± 0.030.80 ± 0.020.78 ± 0.020.78 ± 0.020.76 ± 0.020.75 ± 0.020.29 ± 0.02Wbc0.93 ± 0.040.95 ± 0.030.84 ± 0.050.91 ± 0.060.95 ± 0.030.95 ± 0.030.95 ± 0.040.91 ± 0.030.92 ± 0.040.80 ± 0.07Wdbc0.86 ± 0.080.85 ± 0.090.86 ± 0.080.91 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.93 ± 0.040.91 ± 0.050.78 ± 0.07Weathernominal0.40 ± 0.700.40 ± 0.520.30 ± 0.670.40 ± 0.700.50 ± 0.530.40 ± 0.520.60 ± 0.520.60 ± 0.520.60 ± 0.520.20 ± 0.63Weathernumeric0.30 ± 0.670.50 ± 0.530.50 ± 0.710.70 ± 0.480.50 ± 0.530.20 ± 0.790.20 ± 0.790.70 ± 0.480.70 ± 0.480.20 ± 0.63Website-phishingdata0.67 ± 0.040.71 ± 0.040.84 ± 0.040.79 ± 0.050.73 ± 0.020.74 ± 0.020.78 ± 0.040.80 ± 0.040.82 ± 0.040.66 ± 0.03Wholesalecustomersdata0.76 ± 0.050.75 ± 0.090.78 ± 0.060.72 ± 0.110.00 ± 0.000.00 ± 0.000.00 ± 0.000.81 ± 0.070.79 ± 0.090.78 ± 0.08Wifi-localization0.90 ± 0.020.98 ± 0.010.96 ± 0.010.98 ± 0.010.72 ± 0.030.74 ± 0.030.74 ± 0.030.97 ± 0.010.97 ± 0.010.72 ± 0.06Wilt0.00 ± 0.000.30 ± 0.080.82 ± 0.050.42 ± 0.070.06 ± 0.040.06 ± 0.040.06 ± 0.040.75 ± 0.130.79 ± 0.080.01 ± 0.03Wine-quality-red0.36 ± 0.060.31 ± 0.060.39 ± 0.050.45 ± 0.040.39 ± 0.040.39 ± 0.040.40 ± 0.040.36 ± 0.060.36 ± 0.040.24 ± 0.05Wine-quality-white0.27 ± 0.040.22 ± 0.020.38 ± 0.040.49 ± 0.040.30 ± 0.040.32 ± 0.040.33 ± 0.040.28 ± 0.040.27 ± 0.030.13 ± 0.03Wine0.94 ± 0.090.95 ± 0.080.91 ± 0.080.92 ± 0.060.98 ± 0.040.97 ± 0.040.97 ± 0.040.96 ± 0.060.96 ± 0.060.65 ± 0.14Yamilnaduelectricty0.15 ± 0.010.00 ± 0.000.09 ± 0.010.17 ± 0.010.00 ± 0.010.00 ± 0.010.00 ± 0.010.00 ± 0.010.00 ± 0.010.01 ± 0.01Yeast0.27 ± 0.040.45 ± 0.030.43 ± 0.060.38 ± 0.030.48 ± 0.060.48 ± 0.060.48 ± 0.060.47 ± 0.050.46 ± 0.040.18 ± 0.05Youtobe-kabita-preprocessing0.22 ± 0.030.14 ± 0.010.23 ± 0.020.21 ± 0.020.27 ± 0.030.26 ± 0.030.25 ± 0.020.22 ± 0.010.23 ± 0.020.21 ± 0.02Youtobe-nisha-preprocessing0.27 ± 0.020.22 ± 0.020.28 ± 0.010.25 ± 0.020.31 ± 0.020.29 ± 0.020.29 ± 0.030.27 ± 0.020.26 ± 0.030.20 ± 0.02Z-alizadehsani0.00 ± 0.000.54 ± 0.150.47 ± 0.210.50 ± 0.130.00 ± 0.000.00 ± 0.000.00 ± 0.000.57 ± 0.180.56 ± 0.170.30 ± 0.21Zoo0.88 ± 0.120.95 ± 0.080.90 ± 0.120.95 ± 0.080.92 ± 0.110.92 ± 0.110.92 ± 0.110.94 ± 0.090.94 ± 0.090.65 ± 0.14Average k (rank)0.4171 (9)0.5010 (5)0.5910 (2)0.5595 (4)0.4182 (8)0.4412 (7)0.4528 (6)0.5920 (1)0.5898 (3)0.4004 (10)Average k std (rank)0.0828 (4)0.1118 (7)0.1067 (6)0.1151 (9)0.0694 (1)0.0798 (2)0.0808 (3)0.1150 (8)0.1157 (10)0.1061 (5)Table 8
The detailed experimental results on root mean squared error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone0.41 ± 0.010.46 ± 0.020.45 ± 0.010.53 ± 0.020.47 ± 0.020.47 ± 0.020.47 ± 0.020.39 ± 0.010.39 ± 0.010.51 ± 0.01Absenteeism-at-work0.32 ± 0.010.33 ± 0.040.03 ± 0.050.40 ± 0.040.39 ± 0.040.39 ± 0.040.39 ± 0.040.14 ± 0.030.15 ± 0.040.21 ± 0.04Acute-inflammatioactn0.25 ± 0.020.15 ± 0.030.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.45 ± 0.10Acute-nephritis0.22 ± 0.010.14 ± 0.130.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.22 ± 0.20Adult0.40 ± 0.000.40 ± 0.030.38 ± 0.030.46 ± 0.040.41 ± 0.050.40 ± 0.050.41 ± 0.050.38 ± 0.030.39 ± 0.030.44 ± 0.01Aggregation0.14 ± 0.020.02 ± 0.010.02 ± 0.030.01 ± 0.020.01 ± 0.020.01 ± 0.030.01 ± 0.030.06 ± 0.020.05 ± 0.020.34 ± 0.01Algerianforest0.33 ± 0.030.19 ± 0.140.16 ± 0.130.33 ± 0.100.64 ± 0.010.62 ± 0.040.62 ± 0.040.14 ± 0.100.12 ± 0.110.09 ± 0.15Annealing0.26 ± 0.000.31 ± 0.030.11 ± 0.040.20 ± 0.020.21 ± 0.030.18 ± 0.030.18 ± 0.020.17 ± 0.040.16 ± 0.040.26 ± 0.00Arrhythmia0.22 ± 0.000.24 ± 0.020.22 ± 0.020.26 ± 0.010.24 ± 0.010.23 ± 0.010.23 ± 0.010.20 ± 0.020.23 ± 0.030.25 ± 0.01Au1-10000.43 ± 0.000.43 ± 0.010.43 ± 0.040.51 ± 0.040.51 ± 0.000.51 ± 0.000.51 ± 0.010.53 ± 0.030.51 ± 0.040.51 ± 0.00Au4-25000.42 ± 0.000.43 ± 0.010.41 ± 0.040.49 ± 0.030.51 ± 0.020.51 ± 0.020.51 ± 0.020.44 ± 0.030.44 ± 0.030.56 ± 0.03Au6-10000.33 ± 0.000.34 ± 0.000.43 ± 0.010.46 ± 0.010.44 ± 0.000.44 ± 0.000.44 ± 0.000.43 ± 0.010.43 ± 0.010.43 ± 0.01Au6-250-drift-au6-cd1-5000.33 ± 0.000.34 ± 0.010.43 ± 0.010.45 ± 0.010.44 ± 0.000.44 ± 0.000.44 ± 0.000.42 ± 0.010.42 ± 0.010.43 ± 0.01Au6-cd1-4000.32 ± 0.000.34 ± 0.010.37 ± 0.020.45 ± 0.020.42 ± 0.000.42 ± 0.000.42 ± 0.000.40 ± 0.020.40 ± 0.010.41 ± 0.02Au7-300-drift-au7-cpd1-8000.39 ± 0.000.39 ± 0.010.46 ± 0.020.52 ± 0.020.54 ± 0.010.54 ± 0.010.54 ± 0.010.42 ± 0.010.42 ± 0.010.55 ± 0.01Au7-7000.36 ± 0.000.36 ± 0.010.41 ± 0.020.51 ± 0.020.50 ± 0.010.50 ± 0.010.50 ± 0.010.41 ± 0.010.41 ± 0.010.47 ± 0.02Au7-cpd1-5000.38 ± 0.000.38 ± 0.010.40 ± 0.020.50 ± 0.020.50 ± 0.000.50 ± 0.010.50 ± 0.010.45 ± 0.020.45 ± 0.030.49 ± 0.02Audiology-std0.21 ± 0.000.16 ± 0.030.15 ± 0.030.16 ± 0.040.20 ± 0.020.19 ± 0.030.18 ± 0.030.12 ± 0.020.13 ± 0.020.24 ± 0.00Audit-risk0.30 ± 0.020.22 ± 0.050.01 ± 0.040.14 ± 0.060.10 ± 0.080.09 ± 0.080.07 ± 0.080.15 ± 0.050.16 ± 0.050.00 ± 0.00Autism-adolescent-data0.39 ± 0.030.11 ± 0.070.00 ± 0.000.27 ± 0.150.12 ± 0.160.15 ± 0.160.12 ± 0.160.23 ± 0.180.23 ± 0.180.00 ± 0.00Autism-adult-data0.34 ± 0.010.12 ± 0.060.00 ± 0.000.21 ± 0.080.05 ± 0.070.03 ± 0.060.04 ± 0.070.01 ± 0.000.01 ± 0.000.00 ± 0.00Autism-child-data0.41 ± 0.010.10 ± 0.040.00 ± 0.000.33 ± 0.060.02 ± 0.060.00 ± 0.000.00 ± 0.000.03 ± 0.040.04 ± 0.040.00 ± 0.00Autos0.26 ± 0.010.31 ± 0.050.20 ± 0.040.25 ± 0.060.43 ± 0.010.43 ± 0.020.43 ± 0.020.23 ± 0.030.23 ± 0.030.33 ± 0.04Avila0.14 ± 0.000.29 ± 0.000.09 ± 0.010.20 ± 0.010.23 ± 0.010.22 ± 0.010.22 ± 0.010.21 ± 0.000.21 ± 0.010.22 ± 0.01Balance-scale0.34 ± 0.010.28 ± 0.010.37 ± 0.030.33 ± 0.040.25 ± 0.020.22 ± 0.010.21 ± 0.020.20 ± 0.030.21 ± 0.030.54 ± 0.03Balloons0.42 ± 0.110.50 ± 0.030.51 ± 0.190.37 ± 0.100.38 ± 0.410.24 ± 0.400.24 ± 0.400.38 ± 0.330.37 ± 0.340.65 ± 0.37Bank0.31 ± 0.000.35 ± 0.010.31 ± 0.010.37 ± 0.020.32 ± 0.010.32 ± 0.010.32 ± 0.020.30 ± 0.010.30 ± 0.020.34 ± 0.01Blood0.42 ± 0.010.43 ± 0.020.40 ± 0.020.53 ± 0.040.46 ± 0.020.46 ± 0.020.46 ± 0.020.39 ± 0.010.39 ± 0.010.49 ± 0.02Breast-cancer-wisc-diag0.28 ± 0.020.24 ± 0.110.24 ± 0.100.20 ± 0.050.13 ± 0.080.12 ± 0.080.12 ± 0.070.17 ± 0.050.17 ± 0.080.32 ± 0.06Breast-cancer-wisc-prog0.42 ± 0.020.52 ± 0.100.47 ± 0.080.51 ± 0.100.45 ± 0.070.46 ± 0.100.46 ± 0.100.46 ± 0.090.47 ± 0.100.54 ± 0.07Breast-cancer-wisc0.20 ± 0.040.20 ± 0.050.23 ± 0.070.19 ± 0.090.15 ± 0.080.15 ± 0.090.17 ± 0.070.19 ± 0.100.19 ± 0.070.26 ± 0.09Breast-cancer0.43 ± 0.020.45 ± 0.050.46 ± 0.030.54 ± 0.070.51 ± 0.050.52 ± 0.060.53 ± 0.050.48 ± 0.060.51 ± 0.040.54 ± 0.05Breast-tissue0.29 ± 0.030.29 ± 0.080.30 ± 0.090.28 ± 0.100.37 ± 0.080.32 ± 0.090.29 ± 0.130.28 ± 0.040.29 ± 0.050.39 ± 0.04Bupa0.47 ± 0.010.51 ± 0.040.54 ± 0.060.62 ± 0.040.64 ± 0.020.64 ± 0.020.64 ± 0.020.47 ± 0.040.47 ± 0.040.67 ± 0.06Caesarian0.46 ± 0.050.47 ± 0.100.49 ± 0.050.58 ± 0.120.67 ± 0.050.61 ± 0.090.63 ± 0.120.60 ± 0.150.60 ± 0.130.70 ± 0.15Car0.32 ± 0.000.23 ± 0.010.10 ± 0.030.12 ± 0.020.11 ± 0.030.09 ± 0.030.09 ± 0.030.15 ± 0.020.15 ± 0.020.39 ± 0.00Cardiotocography-10classes0.24 ± 0.000.22 ± 0.010.17 ± 0.010.21 ± 0.010.19 ± 0.010.19 ± 0.010.18 ± 0.010.17 ± 0.010.18 ± 0.010.32 ± 0.01Cardiotocography-3classes0.31 ± 0.000.33 ± 0.030.21 ± 0.040.23 ± 0.030.24 ± 0.030.23 ± 0.030.23 ± 0.030.21 ± 0.020.20 ± 0.030.35 ± 0.03Cervical-cancer0.38 ± 0.030.23 ± 0.170.30 ± 0.220.26 ± 0.220.54 ± 0.030.51 ± 0.070.51 ± 0.070.16 ± 0.160.16 ± 0.160.46 ± 0.10Chemicalcomposionofceramic0.25 ± 0.020.00 ± 0.000.04 ± 0.110.01 ± 0.000.74 ± 0.020.74 ± 0.020.74 ± 0.020.01 ± 0.010.01 ± 0.000.00 ± 0.00Chess-krvk0.22 ± 0.000.21 ± 0.000.21 ± 0.010.23 ± 0.010.24 ± 0.010.24 ± 0.010.24 ± 0.010.20 ± 0.000.20 ± 0.000.29 ± 0.00Chess-krvkp0.47 ± 0.000.32 ± 0.020.07 ± 0.040.23 ± 0.020.11 ± 0.040.08 ± 0.040.09 ± 0.030.07 ± 0.030.07 ± 0.040.58 ± 0.01Congressional-voting0.48 ± 0.000.48 ± 0.040.49 ± 0.020.50 ± 0.050.62 ± 0.030.62 ± 0.040.63 ± 0.050.49 ± 0.040.49 ± 0.040.61 ± 0.02Conn-bench-sonar-mines-rocks0.46 ± 0.010.53 ± 0.070.52 ± 0.060.35 ± 0.100.39 ± 0.100.33 ± 0.140.31 ± 0.140.38 ± 0.140.36 ± 0.140.60 ± 0.09Conn-bench-vowel-deterding0.22 ± 0.000.20 ± 0.010.18 ± 0.030.02 ± 0.030.10 ± 0.020.06 ± 0.030.04 ± 0.040.15 ± 0.020.16 ± 0.020.34 ± 0.01Connect-40.43 ± 0.000.48 ± 0.010.41 ± 0.020.53 ± 0.030.51 ± 0.000.49 ± 0.010.48 ± 0.020.47 ± 0.020.47 ± 0.020.51 ± 0.00Connectionist0.46 ± 0.010.53 ± 0.100.49 ± 0.070.35 ± 0.080.62 ± 0.070.54 ± 0.130.49 ± 0.190.36 ± 0.110.36 ± 0.110.61 ± 0.06Contrac0.45 ± 0.000.46 ± 0.020.47 ± 0.020.61 ± 0.020.55 ± 0.010.55 ± 0.020.55 ± 0.020.43 ± 0.010.43 ± 0.010.59 ± 0.01Covid-190.38 ± 0.090.35 ± 0.190.33 ± 0.310.40 ± 0.270.39 ± 0.350.42 ± 0.370.34 ± 0.370.31 ± 0.290.31 ± 0.300.20 ± 0.32Credit-approval0.42 ± 0.010.43 ± 0.040.36 ± 0.040.42 ± 0.070.38 ± 0.070.38 ± 0.060.39 ± 0.060.35 ± 0.040.37 ± 0.040.38 ± 0.06Crowdsource0.22 ± 0.000.22 ± 0.020.19 ± 0.010.12 ± 0.010.29 ± 0.010.29 ± 0.010.29 ± 0.010.15 ± 0.020.15 ± 0.020.27 ± 0.01Crx0.42 ± 0.010.43 ± 0.030.33 ± 0.040.43 ± 0.060.66 ± 0.030.66 ± 0.030.65 ± 0.040.38 ± 0.050.37 ± 0.030.38 ± 0.06Cryother0.34 ± 0.050.31 ± 0.160.20 ± 0.150.26 ± 0.180.39 ± 0.180.37 ± 0.180.37 ± 0.180.28 ± 0.130.32 ± 0.120.42 ± 0.12Cylinder-bands0.46 ± 0.010.54 ± 0.060.50 ± 0.060.55 ± 0.060.49 ± 0.040.46 ± 0.050.43 ± 0.040.48 ± 0.050.48 ± 0.040.58 ± 0.04Dbworld-bodies0.49 ± 0.010.46 ± 0.200.36 ± 0.250.62 ± 0.080.67 ± 0.040.67 ± 0.040.59 ± 0.11//0.28 ± 0.25Dbworld-bodies-stemmed0.49 ± 0.010.45 ± 0.180.28 ± 0.220.58 ± 0.120.67 ± 0.040.64 ± 0.070.50 ± 0.12//0.44 ± 0.27Dbworld-subjects0.49 ± 0.010.28 ± 0.150.44 ± 0.100.42 ± 0.150.67 ± 0.040.67 ± 0.040.67 ± 0.040.25 ± 0.200.25 ± 0.230.60 ± 0.10Dbworld-subjects-stemmed0.49 ± 0.010.27 ± 0.160.39 ± 0.170.37 ± 0.140.67 ± 0.040.67 ± 0.040.67 ± 0.040.26 ± 0.200.27 ± 0.200.62 ± 0.08Dermatology0.27 ± 0.000.07 ± 0.050.09 ± 0.060.10 ± 0.070.07 ± 0.060.06 ± 0.060.06 ± 0.070.07 ± 0.030.07 ± 0.030.41 ± 0.01Diabetes0.43 ± 0.020.41 ± 0.040.44 ± 0.050.54 ± 0.040.59 ± 0.000.59 ± 0.000.59 ± 0.000.42 ± 0.030.42 ± 0.040.53 ± 0.05Diabetic0.47 ± 0.010.65 ± 0.020.51 ± 0.030.62 ± 0.040.65 ± 0.040.64 ± 0.050.63 ± 0.050.43 ± 0.040.43 ± 0.040.68 ± 0.04Divorce0.15 ± 0.060.10 ± 0.130.17 ± 0.140.09 ± 0.110.10 ± 0.130.10 ± 0.130.10 ± 0.130.08 ± 0.100.08 ± 0.110.16 ± 0.15Dota2train0.50 ± 0.000.52 ± 0.020.60 ± 0.040.62 ± 0.030.69 ± 0.000.68 ± 0.030.69 ± 0.020.65 ± 0.070.64 ± 0.080.67 ± 0.03Dow-jones-index0.47 ± 0.010.55 ± 0.030.46 ± 0.030.67 ± 0.050.69 ± 0.000.69 ± 0.000.69 ± 0.000.53 ± 0.030.54 ± 0.030.66 ± 0.02Dry-bean-dataset0.14 ± 0.000.16 ± 0.010.13 ± 0.010.12 ± 0.010.33 ± 0.010.33 ± 0.010.33 ± 0.010.13 ± 0.010.13 ± 0.010.30 ± 0.01Early-stage-diabetes-data-upload0.39 ± 0.010.32 ± 0.050.19 ± 0.060.11 ± 0.090.22 ± 0.110.20 ± 0.110.18 ± 0.120.15 ± 0.070.16 ± 0.080.42 ± 0.05Echocardiogram0.43 ± 0.030.40 ± 0.150.42 ± 0.110.49 ± 0.110.40 ± 0.150.41 ± 0.170.41 ± 0.170.42 ± 0.110.42 ± 0.120.37 ± 0.09Ecoli0.24 ± 0.010.16 ± 0.030.18 ± 0.050.22 ± 0.040.18 ± 0.030.18 ± 0.030.18 ± 0.030.17 ± 0.020.18 ± 0.020.29 ± 0.03Eegeyesate0.46 ± 0.000.70 ± 0.060.38 ± 0.010.40 ± 0.030.67 ± 0.000.67 ± 0.000.67 ± 0.000.50 ± 0.010.50 ± 0.020.61 ± 0.01Electrical0.35 ± 0.040.14 ± 0.070.00 ± 0.000.27 ± 0.120.41 ± 0.090.41 ± 0.080.40 ± 0.080.08 ± 0.070.08 ± 0.070.02 ± 0.06Energy-y10.31 ± 0.000.30 ± 0.020.12 ± 0.030.40 ± 0.030.27 ± 0.020.26 ± 0.020.26 ± 0.040.24 ± 0.010.25 ± 0.020.32 ± 0.02Energy-y20.29 ± 0.010.27 ± 0.030.22 ± 0.030.40 ± 0.030.26 ± 0.030.25 ± 0.020.24 ± 0.020.21 ± 0.020.21 ± 0.030.28 ± 0.04Extentionofz-alizadehsani0.42 ± 0.010.23 ± 0.070.02 ± 0.060.30 ± 0.080.54 ± 0.010.54 ± 0.010.54 ± 0.010.09 ± 0.090.09 ± 0.090.36 ± 0.07Fertility0.32 ± 0.050.33 ± 0.050.36 ± 0.070.38 ± 0.170.34 ± 0.060.31 ± 0.120.29 ± 0.170.29 ± 0.130.30 ± 0.150.34 ± 0.06First-order0.29 ± 0.000.82 ± 0.020.00 ± 0.000.06 ± 0.050.31 ± 0.010.21 ± 0.040.13 ± 0.060.02 ± 0.030.02 ± 0.030.30 ± 0.03Flags0.29 ± 0.010.33 ± 0.020.30 ± 0.040.36 ± 0.030.34 ± 0.030.34 ± 0.040.34 ± 0.050.33 ± 0.040.32 ± 0.030.33 ± 0.03Foresttypes0.28 ± 0.010.13 ± 0.090.12 ± 0.100.13 ± 0.080.59 ± 0.010.58 ± 0.020.58 ± 0.020.10 ± 0.070.10 ± 0.070.29 ± 0.07Garments-worker-productivity0.37 ± 0.000.41 ± 0.010.41 ± 0.020.54 ± 0.010.51 ± 0.010.51 ± 0.010.50 ± 0.010.39 ± 0.010.39 ± 0.010.52 ± 0.01Gender-name-dataset0.49 ± 0.000.61 ± 0.010.49 ± 0.000.48 ± 0.010.60 ± 0.010.60 ± 0.020.60 ± 0.020.49 ± 0.000.49 ± 0.000.63 ± 0.01Gesture-a1-raw0.20 ± 0.010.29 ± 0.020.18 ± 0.020.12 ± 0.020.49 ± 0.000.49 ± 0.000.49 ± 0.000.17 ± 0.020.17 ± 0.010.11 ± 0.03Gesture-a1-va30.31 ± 0.010.38 ± 0.020.35 ± 0.030.32 ± 0.020.49 ± 0.000.49 ± 0.000.49 ± 0.000.30 ± 0.010.31 ± 0.020.39 ± 0.01Gesture-a2-raw0.21 ± 0.000.33 ± 0.020.20 ± 0.030.14 ± 0.050.49 ± 0.000.49 ± 0.000.49 ± 0.000.18 ± 0.020.18 ± 0.020.14 ± 0.03Gesture-a2-va30.33 ± 0.010.44 ± 0.040.40 ± 0.010.36 ± 0.020.49 ± 0.000.49 ± 0.000.49 ± 0.000.35 ± 0.020.35 ± 0.020.43 ± 0.02Gesture-a3-raw0.18 ± 0.010.35 ± 0.010.16 ± 0.010.12 ± 0.020.51 ± 0.000.51 ± 0.000.51 ± 0.000.19 ± 0.010.19 ± 0.020.14 ± 0.02Gesture-a3-va30.33 ± 0.000.43 ± 0.010.30 ± 0.020.20 ± 0.020.51 ± 0.000.51 ± 0.000.51 ± 0.000.32 ± 0.010.32 ± 0.010.44 ± 0.01Gesture-b1-raw0.18 ± 0.010.38 ± 0.020.15 ± 0.030.13 ± 0.040.45 ± 0.000.45 ± 0.000.45 ± 0.000.18 ± 0.020.17 ± 0.010.17 ± 0.02Gesture-b1-va30.33 ± 0.010.49 ± 0.030.34 ± 0.020.19 ± 0.030.50 ± 0.000.50 ± 0.000.50 ± 0.000.33 ± 0.010.33 ± 0.020.48 ± 0.02Gesture-b3-raw0.23 ± 0.010.36 ± 0.020.18 ± 0.030.13 ± 0.010.52 ± 0.000.52 ± 0.000.52 ± 0.000.20 ± 0.040.20 ± 0.030.13 ± 0.03Gesture-b3-va30.37 ± 0.010.45 ± 0.020.40 ± 0.020.30 ± 0.020.52 ± 0.000.52 ± 0.000.52 ± 0.000.35 ± 0.020.37 ± 0.020.49 ± 0.02Gesture-c1-raw0.23 ± 0.010.34 ± 0.010.20 ± 0.020.15 ± 0.020.55 ± 0.000.55 ± 0.000.55 ± 0.000.20 ± 0.030.20 ± 0.030.15 ± 0.03Gesture-c1-va30.35 ± 0.010.41 ± 0.020.39 ± 0.020.34 ± 0.020.55 ± 0.000.55 ± 0.000.55 ± 0.000.34 ± 0.020.35 ± 0.010.48 ± 0.02Gesture-c3-raw0.22 ± 0.010.36 ± 0.020.21 ± 0.030.16 ± 0.030.54 ± 0.000.54 ± 0.000.54 ± 0.000.21 ± 0.020.23 ± 0.010.15 ± 0.02Gesture-c3-va30.36 ± 0.010.44 ± 0.010.40 ± 0.020.39 ± 0.020.54 ± 0.000.54 ± 0.000.54 ± 0.000.36 ± 0.020.37 ± 0.020.48 ± 0.01Glass0.29 ± 0.010.36 ± 0.030.31 ± 0.040.31 ± 0.050.30 ± 0.040.30 ± 0.040.31 ± 0.040.28 ± 0.030.28 ± 0.020.38 ± 0.04Go-track-tracks0.37 ± 0.040.38 ± 0.060.30 ± 0.140.24 ± 0.180.52 ± 0.110.52 ± 0.110.52 ± 0.110.32 ± 0.090.32 ± 0.090.48 ± 0.14Haberman-survival0.43 ± 0.010.43 ± 0.040.43 ± 0.020.57 ± 0.060.52 ± 0.050.54 ± 0.030.54 ± 0.030.43 ± 0.030.43 ± 0.030.52 ± 0.03Hayes-roth0.34 ± 0.020.36 ± 0.020.28 ± 0.050.21 ± 0.050.28 ± 0.110.35 ± 0.060.36 ± 0.060.34 ± 0.100.34 ± 0.100.61 ± 0.03Hcc-data0.46 ± 0.010.53 ± 0.070.54 ± 0.060.60 ± 0.070.62 ± 0.020.62 ± 0.020.62 ± 0.020.54 ± 0.110.56 ± 0.090.54 ± 0.12Hcvdat0.19 ± 0.010.17 ± 0.040.17 ± 0.030.19 ± 0.020.23 ± 0.010.23 ± 0.010.23 ± 0.010.14 ± 0.030.16 ± 0.030.21 ± 0.02Heart-cleveland0.33 ± 0.010.34 ± 0.040.40 ± 0.040.42 ± 0.030.41 ± 0.040.40 ± 0.050.41 ± 0.050.38 ± 0.030.38 ± 0.040.43 ± 0.03Heart-hungarian0.39 ± 0.030.39 ± 0.080.41 ± 0.070.46 ± 0.090.42 ± 0.090.41 ± 0.080.40 ± 0.090.42 ± 0.080.42 ± 0.060.45 ± 0.11Heart-switzerland0.37 ± 0.010.40 ± 0.030.45 ± 0.050.51 ± 0.050.49 ± 0.030.49 ± 0.020.48 ± 0.030.42 ± 0.050.42 ± 0.040.52 ± 0.05Heart-va0.39 ± 0.010.42 ± 0.030.48 ± 0.020.50 ± 0.030.51 ± 0.040.52 ± 0.030.53 ± 0.040.47 ± 0.030.48 ± 0.030.54 ± 0.04Heart-failure-clinical-records-dataset0.44 ± 0.010.41 ± 0.040.41 ± 0.060.58 ± 0.060.57 ± 0.010.57 ± 0.010.57 ± 0.010.48 ± 0.050.45 ± 0.090.37 ± 0.08Hepatitis0.38 ± 0.020.37 ± 0.100.41 ± 0.120.41 ± 0.070.40 ± 0.080.35 ± 0.190.35 ± 0.190.39 ± 0.110.42 ± 0.120.50 ± 0.07Hill-valley0.51 ± 0.010.70 ± 0.050.50 ± 0.000.69 ± 0.030.69 ± 0.050.69 ± 0.050.68 ± 0.050.48 ± 0.020.49 ± 0.020.72 ± 0.03Hiv1625data0.25 ± 0.020.22 ± 0.040.27 ± 0.030.27 ± 0.020.28 ± 0.040.25 ± 0.040.25 ± 0.050.20 ± 0.050.24 ± 0.050.45 ± 0.02Hiv746data0.30 ± 0.030.26 ± 0.050.37 ± 0.040.34 ± 0.040.32 ± 0.060.30 ± 0.050.29 ± 0.060.25 ± 0.050.26 ± 0.060.43 ± 0.06Horse-colic0.43 ± 0.010.47 ± 0.060.34 ± 0.080.48 ± 0.080.40 ± 0.070.39 ± 0.070.38 ± 0.080.44 ± 0.050.42 ± 0.100.42 ± 0.06Htru0.16 ± 0.010.23 ± 0.010.14 ± 0.020.17 ± 0.010.30 ± 0.000.29 ± 0.000.29 ± 0.000.13 ± 0.010.13 ± 0.010.15 ± 0.01Hypothyroid0.18 ± 0.000.14 ± 0.010.04 ± 0.020.21 ± 0.020.19 ± 0.000.19 ± 0.010.19 ± 0.010.15 ± 0.040.17 ± 0.040.14 ± 0.02Ibeacon-rssi-labeled0.09 ± 0.000.10 ± 0.000.09 ± 0.000.09 ± 0.000.11 ± 0.000.11 ± 0.000.11 ± 0.000.09 ± 0.000.09 ± 0.000.13 ± 0.00Ilpd-indian-liver0.43 ± 0.010.65 ± 0.040.47 ± 0.030.59 ± 0.050.54 ± 0.010.54 ± 0.020.54 ± 0.020.42 ± 0.010.42 ± 0.010.58 ± 0.03Image-segmentation0.23 ± 0.010.24 ± 0.030.16 ± 0.080.19 ± 0.040.19 ± 0.020.19 ± 0.040.19 ± 0.040.14 ± 0.030.15 ± 0.030.34 ± 0.04Immunotherapy0.38 ± 0.020.40 ± 0.080.37 ± 0.130.50 ± 0.210.46 ± 0.040.46 ± 0.040.46 ± 0.040.37 ± 0.100.39 ± 0.110.37 ± 0.16Impensdata0.30 ± 0.010.26 ± 0.030.36 ± 0.000.33 ± 0.030.40 ± 0.000.40 ± 0.000.40 ± 0.000.29 ± 0.030.31 ± 0.040.39 ± 0.03In-vehicle-coupon-recommendation0.48 ± 0.000.47 ± 0.010.46 ± 0.010.56 ± 0.010.56 ± 0.010.55 ± 0.010.55 ± 0.010.52 ± 0.010.51 ± 0.010.63 ± 0.01Indian0.43 ± 0.010.65 ± 0.040.48 ± 0.040.60 ± 0.060.53 ± 0.020.53 ± 0.010.53 ± 0.010.43 ± 0.020.43 ± 0.020.58 ± 0.03Ionosphere0.30 ± 0.020.39 ± 0.060.28 ± 0.060.36 ± 0.070.23 ± 0.050.21 ± 0.090.19 ± 0.090.29 ± 0.030.28 ± 0.050.42 ± 0.11Iris0.28 ± 0.040.14 ± 0.080.11 ± 0.120.13 ± 0.130.11 ± 0.110.11 ± 0.120.11 ± 0.110.10 ± 0.090.10 ± 0.090.19 ± 0.14Jain0.20 ± 0.060.18 ± 0.060.02 ± 0.070.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.18 ± 0.050.18 ± 0.050.19 ± 0.11Jsbach-chorals-harmony0.26 ± 0.000.16 ± 0.010.17 ± 0.010.14 ± 0.010.19 ± 0.020.18 ± 0.010.17 ± 0.020.15 ± 0.020.16 ± 0.030.20 ± 0.02Knowledge0.36 ± 0.020.25 ± 0.070.15 ± 0.100.34 ± 0.060.27 ± 0.090.20 ± 0.130.16 ± 0.130.17 ± 0.080.17 ± 0.070.29 ± 0.08Lasvegastripadvisorreviews0.35 ± 0.000.39 ± 0.010.42 ± 0.010.49 ± 0.010.50 ± 0.010.50 ± 0.010.50 ± 0.010.45 ± 0.010.45 ± 0.020.49 ± 0.01Leaf0.15 ± 0.000.12 ± 0.020.15 ± 0.020.24 ± 0.000.24 ± 0.010.22 ± 0.010.22 ± 0.010.15 ± 0.010.16 ± 0.010.23 ± 0.01Led-display0.26 ± 0.000.20 ± 0.010.21 ± 0.010.21 ± 0.010.24 ± 0.020.24 ± 0.020.24 ± 0.020.20 ± 0.010.21 ± 0.010.40 ± 0.00Lenses0.33 ± 0.100.42 ± 0.120.23 ± 0.260.19 ± 0.180.24 ± 0.310.21 ± 0.270.21 ± 0.270.29 ± 0.240.31 ± 0.250.39 ± 0.29Letter0.17 ± 0.000.14 ± 0.000.09 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.05 ± 0.000.11 ± 0.000.11 ± 0.000.25 ± 0.00Libras0.21 ± 0.010.21 ± 0.030.19 ± 0.030.13 ± 0.030.16 ± 0.020.14 ± 0.020.13 ± 0.020.15 ± 0.020.14 ± 0.020.32 ± 0.01Low-res-spect0.21 ± 0.000.21 ± 0.020.19 ± 0.020.19 ± 0.020.15 ± 0.020.15 ± 0.020.14 ± 0.020.12 ± 0.020.13 ± 0.020.24 ± 0.02Lung-cancer0.44 ± 0.020.45 ± 0.140.55 ± 0.140.48 ± 0.270.52 ± 0.200.49 ± 0.200.53 ± 0.210.54 ± 0.110.54 ± 0.120.58 ± 0.10Lymphography0.32 ± 0.010.26 ± 0.060.33 ± 0.070.32 ± 0.130.24 ± 0.110.26 ± 0.080.28 ± 0.070.27 ± 0.060.27 ± 0.070.34 ± 0.06Magic0.40 ± 0.010.49 ± 0.020.38 ± 0.020.45 ± 0.030.39 ± 0.030.39 ± 0.020.39 ± 0.020.34 ± 0.030.36 ± 0.030.53 ± 0.04Mammographic0.40 ± 0.010.41 ± 0.040.36 ± 0.020.47 ± 0.050.41 ± 0.030.42 ± 0.030.42 ± 0.030.37 ± 0.020.38 ± 0.030.43 ± 0.01Miniboone0.36 ± 0.010.84 ± 0.010.36 ± 0.030.40 ± 0.020.39 ± 0.030.38 ± 0.030.37 ± 0.030.34 ± 0.020.34 ± 0.020.43 ± 0.02Molec-biol-promoter0.45 ± 0.020.27 ± 0.140.48 ± 0.100.51 ± 0.120.40 ± 0.140.36 ± 0.170.36 ± 0.170.42 ± 0.100.43 ± 0.100.54 ± 0.10Molec-biol-splice0.44 ± 0.000.20 ± 0.020.21 ± 0.030.50 ± 0.010.29 ± 0.020.29 ± 0.020.30 ± 0.010.29 ± 0.020.30 ± 0.020.49 ± 0.02Monks-10.40 ± 0.030.43 ± 0.080.09 ± 0.130.54 ± 0.100.39 ± 0.220.36 ± 0.210.38 ± 0.160.22 ± 0.220.18 ± 0.240.51 ± 0.10Monks-20.49 ± 0.020.50 ± 0.030.44 ± 0.100.61 ± 0.090.65 ± 0.060.62 ± 0.110.59 ± 0.100.45 ± 0.100.44 ± 0.070.64 ± 0.04Monks-30.39 ± 0.040.32 ± 0.060.20 ± 0.160.47 ± 0.150.26 ± 0.190.29 ± 0.170.29 ± 0.170.32 ± 0.160.28 ± 0.120.47 ± 0.04Mushroom0.34 ± 0.010.32 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.12 ± 0.02Musk-10.41 ± 0.010.49 ± 0.070.37 ± 0.090.38 ± 0.060.30 ± 0.080.27 ± 0.060.24 ± 0.060.21 ± 0.050.21 ± 0.050.61 ± 0.07Musk-20.29 ± 0.010.37 ± 0.020.20 ± 0.030.19 ± 0.020.20 ± 0.030.16 ± 0.030.14 ± 0.030.10 ± 0.040.10 ± 0.040.32 ± 0.02Newdiagnosis0.25 ± 0.020.15 ± 0.040.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.47 ± 0.08Nursery0.33 ± 0.000.19 ± 0.010.04 ± 0.010.18 ± 0.010.08 ± 0.010.07 ± 0.010.07 ± 0.010.10 ± 0.020.12 ± 0.020.34 ± 0.01Obesitydataset-raw-and-data-sinthetic0.28 ± 0.000.25 ± 0.010.13 ± 0.020.23 ± 0.020.17 ± 0.020.15 ± 0.020.15 ± 0.020.12 ± 0.030.12 ± 0.010.31 ± 0.02Obs-network-dataset-2-aug270.21 ± 0.010.36 ± 0.030.01 ± 0.030.06 ± 0.030.11 ± 0.020.11 ± 0.020.11 ± 0.020.11 ± 0.030.09 ± 0.030.21 ± 0.03Occupancy-data0.17 ± 0.020.20 ± 0.020.11 ± 0.030.09 ± 0.030.44 ± 0.020.42 ± 0.030.42 ± 0.030.13 ± 0.030.12 ± 0.030.11 ± 0.03Occupancy-data20.14 ± 0.010.19 ± 0.010.07 ± 0.010.07 ± 0.010.41 ± 0.010.38 ± 0.010.38 ± 0.010.07 ± 0.010.07 ± 0.010.08 ± 0.01Occupancy-data30.12 ± 0.010.14 ± 0.020.07 ± 0.010.07 ± 0.020.41 ± 0.010.39 ± 0.010.39 ± 0.010.09 ± 0.010.09 ± 0.010.08 ± 0.01Old0.42 ± 0.000.21 ± 0.020.20 ± 0.030.13 ± 0.030.22 ± 0.020.22 ± 0.030.21 ± 0.030.15 ± 0.030.15 ± 0.030.34 ± 0.02Online-shoppers-intention0.34 ± 0.000.39 ± 0.010.30 ± 0.010.43 ± 0.010.39 ± 0.000.39 ± 0.000.40 ± 0.000.28 ± 0.010.29 ± 0.020.34 ± 0.01Oocytes-merluccius-nucleus-4d0.43 ± 0.010.59 ± 0.040.44 ± 0.020.53 ± 0.040.48 ± 0.030.44 ± 0.030.43 ± 0.040.38 ± 0.030.39 ± 0.040.57 ± 0.04Oocytes-merluccius-states-2f0.25 ± 0.020.31 ± 0.040.24 ± 0.040.24 ± 0.040.23 ± 0.040.23 ± 0.030.22 ± 0.030.21 ± 0.020.22 ± 0.030.34 ± 0.04Oocytes-trisopterus-nucleus-2f0.46 ± 0.010.64 ± 0.040.49 ± 0.050.50 ± 0.060.43 ± 0.040.40 ± 0.040.41 ± 0.030.36 ± 0.040.39 ± 0.040.64 ± 0.05Oocytes-trisopterus-states-5b0.29 ± 0.030.39 ± 0.030.26 ± 0.040.24 ± 0.050.23 ± 0.050.22 ± 0.040.22 ± 0.040.19 ± 0.040.19 ± 0.040.36 ± 0.03Optdigits0.27 ± 0.000.13 ± 0.010.13 ± 0.010.05 ± 0.010.23 ± 0.010.22 ± 0.010.22 ± 0.010.05 ± 0.010.05 ± 0.010.38 ± 0.00Optical0.27 ± 0.000.12 ± 0.010.14 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.06 ± 0.010.38 ± 0.00Ozone0.17 ± 0.010.53 ± 0.030.20 ± 0.010.22 ± 0.020.17 ± 0.010.17 ± 0.010.17 ± 0.010.18 ± 0.020.17 ± 0.020.18 ± 0.01Page-blocks0.14 ± 0.010.19 ± 0.010.11 ± 0.010.13 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.11 ± 0.010.11 ± 0.010.16 ± 0.01Parkingbirmingham0.09 ± 0.010.10 ± 0.000.00 ± 0.000.04 ± 0.010.17 ± 0.010.16 ± 0.010.16 ± 0.010.08 ± 0.000.08 ± 0.000.00 ± 0.00Parkinsons0.34 ± 0.030.54 ± 0.110.42 ± 0.050.16 ± 0.110.34 ± 0.090.29 ± 0.130.27 ± 0.120.28 ± 0.110.26 ± 0.140.36 ± 0.11Pasture0.41 ± 0.040.34 ± 0.240.30 ± 0.230.33 ± 0.260.69 ± 0.020.69 ± 0.020.69 ± 0.020.30 ± 0.240.31 ± 0.250.43 ± 0.25Pbc0.43 ± 0.020.43 ± 0.070.41 ± 0.070.63 ± 0.070.62 ± 0.010.62 ± 0.010.62 ± 0.010.50 ± 0.050.48 ± 0.030.52 ± 0.09Pen0.22 ± 0.000.16 ± 0.010.08 ± 0.010.04 ± 0.000.42 ± 0.000.41 ± 0.000.41 ± 0.000.10 ± 0.010.10 ± 0.000.35 ± 0.00Pendigits0.22 ± 0.000.15 ± 0.010.09 ± 0.010.03 ± 0.010.03 ± 0.010.02 ± 0.010.02 ± 0.010.09 ± 0.010.09 ± 0.010.35 ± 0.01Pharynx0.43 ± 0.020.46 ± 0.030.42 ± 0.010.59 ± 0.090.49 ± 0.080.51 ± 0.100.54 ± 0.090.49 ± 0.040.51 ± 0.130.85 ± 0.03Phishingwebsites0.44 ± 0.000.23 ± 0.010.19 ± 0.010.14 ± 0.010.23 ± 0.010.22 ± 0.010.22 ± 0.010.16 ± 0.010.16 ± 0.010.33 ± 0.01Pima0.43 ± 0.020.42 ± 0.040.44 ± 0.050.54 ± 0.040.49 ± 0.040.50 ± 0.040.50 ± 0.030.42 ± 0.030.42 ± 0.040.53 ± 0.05Pittsburg-bridges-rel-l0.40 ± 0.030.40 ± 0.080.44 ± 0.080.40 ± 0.170.46 ± 0.100.45 ± 0.100.42 ± 0.100.45 ± 0.090.43 ± 0.090.43 ± 0.09Pittsburg-bridges-span0.41 ± 0.020.38 ± 0.070.43 ± 0.070.51 ± 0.110.47 ± 0.100.48 ± 0.120.48 ± 0.120.41 ± 0.050.41 ± 0.070.54 ± 0.08Pittsburg-bridges-t-or-d0.33 ± 0.060.30 ± 0.100.37 ± 0.130.37 ± 0.170.34 ± 0.140.30 ± 0.170.28 ± 0.160.29 ± 0.210.31 ± 0.220.34 ± 0.19Pittsburg-bridges-type0.33 ± 0.020.32 ± 0.040.33 ± 0.040.36 ± 0.060.39 ± 0.050.35 ± 0.080.35 ± 0.070.32 ± 0.070.34 ± 0.070.38 ± 0.02Pittsburg-bridgesmaterial0.30 ± 0.030.30 ± 0.070.25 ± 0.080.30 ± 0.130.30 ± 0.070.31 ± 0.060.30 ± 0.130.30 ± 0.080.32 ± 0.080.29 ± 0.05Planning0.45 ± 0.010.49 ± 0.040.45 ± 0.010.58 ± 0.080.53 ± 0.010.54 ± 0.050.58 ± 0.060.56 ± 0.060.60 ± 0.080.61 ± 0.07Plant-margin0.09 ± 0.000.05 ± 0.000.10 ± 0.000.07 ± 0.000.06 ± 0.000.06 ± 0.010.05 ± 0.010.05 ± 0.000.05 ± 0.000.14 ± 0.00Plant-shape0.09 ± 0.000.09 ± 0.000.10 ± 0.000.08 ± 0.000.10 ± 0.000.09 ± 0.000.09 ± 0.000.07 ± 0.000.07 ± 0.000.14 ± 0.00Plant-texture0.10 ± 0.000.07 ± 0.000.09 ± 0.000.06 ± 0.000.06 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.14 ± 0.00Poker-hand-training-true0.24 ± 0.000.24 ± 0.000.27 ± 0.010.32 ± 0.000.29 ± 0.000.29 ± 0.000.30 ± 0.000.24 ± 0.000.24 ± 0.000.32 ± 0.00Post-operative0.38 ± 0.030.41 ± 0.040.38 ± 0.030.51 ± 0.060.44 ± 0.040.45 ± 0.050.47 ± 0.070.45 ± 0.080.48 ± 0.080.45 ± 0.05Primary-tumor0.23 ± 0.000.22 ± 0.020.24 ± 0.010.28 ± 0.020.27 ± 0.030.27 ± 0.030.27 ± 0.030.25 ± 0.020.25 ± 0.020.31 ± 0.01Qsarbioconcentration0.43 ± 0.000.44 ± 0.010.45 ± 0.040.62 ± 0.050.50 ± 0.010.52 ± 0.010.54 ± 0.030.47 ± 0.030.48 ± 0.020.52 ± 0.03Qsarbiodegradation0.42 ± 0.010.47 ± 0.030.38 ± 0.030.40 ± 0.030.37 ± 0.030.37 ± 0.030.38 ± 0.030.33 ± 0.020.33 ± 0.030.48 ± 0.04Qualitative-bankruptcy0.16 ± 0.020.03 ± 0.050.09 ± 0.110.01 ± 0.010.05 ± 0.100.05 ± 0.100.02 ± 0.060.02 ± 0.060.02 ± 0.060.07 ± 0.11Ringnorm0.37 ± 0.010.10 ± 0.010.28 ± 0.000.50 ± 0.020.12 ± 0.020.12 ± 0.020.13 ± 0.020.27 ± 0.020.27 ± 0.010.60 ± 0.01Risk-factors-cervical-cancer0.23 ± 0.010.31 ± 0.030.19 ± 0.040.23 ± 0.040.25 ± 0.010.26 ± 0.020.24 ± 0.030.20 ± 0.040.21 ± 0.040.19 ± 0.05Robotnavigation0.22 ± 0.010.44 ± 0.010.04 ± 0.010.24 ± 0.010.22 ± 0.010.21 ± 0.010.20 ± 0.010.23 ± 0.020.22 ± 0.020.35 ± 0.01Sapfile0.45 ± 0.010.46 ± 0.050.54 ± 0.070.60 ± 0.040.58 ± 0.050.58 ± 0.040.58 ± 0.050.54 ± 0.050.54 ± 0.070.62 ± 0.06Sat0.22 ± 0.000.26 ± 0.010.21 ± 0.010.18 ± 0.010.50 ± 0.000.49 ± 0.000.49 ± 0.000.17 ± 0.010.18 ± 0.010.37 ± 0.01Satelite0.22 ± 0.000.26 ± 0.010.21 ± 0.010.18 ± 0.010.50 ± 0.000.49 ± 0.000.49 ± 0.000.17 ± 0.000.18 ± 0.010.37 ± 0.01Scadi0.28 ± 0.010.20 ± 0.080.20 ± 0.080.21 ± 0.090.26 ± 0.050.23 ± 0.100.20 ± 0.120.22 ± 0.060.22 ± 0.070.34 ± 0.04Schillingdata0.29 ± 0.000.21 ± 0.010.34 ± 0.000.31 ± 0.010.36 ± 0.000.33 ± 0.020.29 ± 0.010.24 ± 0.030.29 ± 0.040.37 ± 0.01Seeds0.28 ± 0.030.21 ± 0.090.21 ± 0.100.19 ± 0.030.18 ± 0.100.18 ± 0.100.18 ± 0.100.14 ± 0.050.14 ± 0.050.33 ± 0.09Segment0.21 ± 0.000.23 ± 0.010.09 ± 0.020.09 ± 0.010.31 ± 0.010.31 ± 0.010.31 ± 0.010.10 ± 0.010.09 ± 0.010.32 ± 0.01Seismic-bumps0.25 ± 0.000.34 ± 0.020.25 ± 0.000.32 ± 0.020.26 ± 0.000.26 ± 0.000.26 ± 0.000.25 ± 0.010.26 ± 0.010.27 ± 0.01Semeion0.29 ± 0.000.16 ± 0.020.21 ± 0.010.13 ± 0.010.09 ± 0.010.09 ± 0.010.09 ± 0.010.11 ± 0.010.11 ± 0.010.40 ± 0.00Setapprocesst10.44 ± 0.030.61 ± 0.190.56 ± 0.140.57 ± 0.090.60 ± 0.070.55 ± 0.100.57 ± 0.090.54 ± 0.210.54 ± 0.210.45 ± 0.28Setapprocesst100.47 ± 0.030.73 ± 0.100.62 ± 0.110.60 ± 0.150.58 ± 0.050.58 ± 0.050.58 ± 0.050.63 ± 0.200.63 ± 0.170.61 ± 0.07Setapprocesst110.47 ± 0.030.63 ± 0.190.55 ± 0.160.63 ± 0.120.58 ± 0.050.58 ± 0.050.58 ± 0.050.57 ± 0.120.54 ± 0.130.65 ± 0.08Setapprocesst20.47 ± 0.030.54 ± 0.140.43 ± 0.240.56 ± 0.230.58 ± 0.050.58 ± 0.050.58 ± 0.050.56 ± 0.150.54 ± 0.160.37 ± 0.23Setapprocesst30.47 ± 0.020.58 ± 0.110.60 ± 0.140.56 ± 0.120.58 ± 0.050.58 ± 0.050.58 ± 0.050.55 ± 0.110.56 ± 0.080.68 ± 0.12Setapprocesst40.46 ± 0.030.66 ± 0.210.64 ± 0.110.60 ± 0.160.53 ± 0.070.53 ± 0.070.53 ± 0.070.61 ± 0.170.62 ± 0.130.51 ± 0.11Setapprocesst50.46 ± 0.030.71 ± 0.120.64 ± 0.160.61 ± 0.140.59 ± 0.060.60 ± 0.070.60 ± 0.070.58 ± 0.110.57 ± 0.100.53 ± 0.25Setapprocesst60.46 ± 0.010.54 ± 0.150.55 ± 0.110.58 ± 0.120.58 ± 0.050.58 ± 0.050.58 ± 0.050.55 ± 0.180.56 ± 0.160.61 ± 0.16Setapprocesst70.47 ± 0.030.47 ± 0.170.56 ± 0.230.58 ± 0.130.58 ± 0.050.58 ± 0.050.58 ± 0.050.46 ± 0.200.47 ± 0.200.68 ± 0.11Setapprocesst80.46 ± 0.030.54 ± 0.130.49 ± 0.150.57 ± 0.200.58 ± 0.050.58 ± 0.050.58 ± 0.050.52 ± 0.200.51 ± 0.210.71 ± 0.08Setapprocesst90.47 ± 0.020.56 ± 0.140.52 ± 0.150.63 ± 0.070.58 ± 0.050.58 ± 0.050.58 ± 0.050.46 ± 0.210.52 ± 0.210.69 ± 0.12Shillbiddingdataset0.21 ± 0.000.17 ± 0.010.06 ± 0.010.09 ± 0.020.07 ± 0.010.06 ± 0.020.06 ± 0.020.05 ± 0.010.05 ± 0.020.16 ± 0.02Shuttle-landing-control0.19 ± 0.220.27 ± 0.320.14 ± 0.200.16 ± 0.230.07 ± 0.220.07 ± 0.220.07 ± 0.220.19 ± 0.310.19 ± 0.320.17 ± 0.37Somervillehappinesssurvey20150.49 ± 0.030.52 ± 0.060.48 ± 0.100.56 ± 0.110.63 ± 0.080.64 ± 0.080.64 ± 0.090.59 ± 0.090.59 ± 0.100.57 ± 0.13Sonar0.46 ± 0.010.53 ± 0.070.52 ± 0.060.35 ± 0.100.58 ± 0.050.54 ± 0.080.51 ± 0.090.37 ± 0.150.37 ± 0.150.61 ± 0.09Soybean0.20 ± 0.000.08 ± 0.040.11 ± 0.020.11 ± 0.020.10 ± 0.030.09 ± 0.030.09 ± 0.030.09 ± 0.030.09 ± 0.020.28 ± 0.00Spambase0.42 ± 0.000.45 ± 0.020.26 ± 0.020.30 ± 0.020.26 ± 0.020.25 ± 0.020.26 ± 0.020.26 ± 0.020.29 ± 0.070.46 ± 0.02Speaker-accent0.31 ± 0.010.32 ± 0.040.30 ± 0.050.25 ± 0.060.37 ± 0.020.35 ± 0.020.35 ± 0.020.23 ± 0.030.25 ± 0.040.41 ± 0.02Spect0.45 ± 0.040.48 ± 0.180.48 ± 0.100.63 ± 0.110.59 ± 0.100.59 ± 0.110.60 ± 0.080.60 ± 0.140.60 ± 0.150.52 ± 0.10Spectf0.47 ± 0.020.46 ± 0.140.49 ± 0.120.54 ± 0.150.57 ± 0.060.57 ± 0.060.45 ± 0.190.48 ± 0.190.48 ± 0.140.53 ± 0.08Statlog-australian-credit0.46 ± 0.000.50 ± 0.030.51 ± 0.060.66 ± 0.020.57 ± 0.020.60 ± 0.050.60 ± 0.050.53 ± 0.030.54 ± 0.030.59 ± 0.05Statlog-german-credit0.45 ± 0.000.42 ± 0.040.47 ± 0.050.57 ± 0.030.49 ± 0.040.47 ± 0.040.47 ± 0.050.51 ± 0.030.50 ± 0.030.54 ± 0.02Statlog-heart0.41 ± 0.020.36 ± 0.070.45 ± 0.090.48 ± 0.110.41 ± 0.060.44 ± 0.100.44 ± 0.110.43 ± 0.060.41 ± 0.090.53 ± 0.06Statlog-image0.20 ± 0.000.23 ± 0.010.09 ± 0.020.09 ± 0.010.13 ± 0.010.12 ± 0.010.11 ± 0.010.09 ± 0.010.09 ± 0.020.32 ± 0.01Statlog-landsat0.22 ± 0.000.26 ± 0.010.21 ± 0.010.18 ± 0.020.19 ± 0.010.18 ± 0.010.18 ± 0.020.18 ± 0.010.18 ± 0.020.36 ± 0.01Statlog-shuttle0.17 ± 0.000.13 ± 0.010.01 ± 0.010.01 ± 0.010.03 ± 0.000.02 ± 0.000.02 ± 0.000.03 ± 0.000.03 ± 0.000.12 ± 0.00Statlog-vehicle0.36 ± 0.010.46 ± 0.010.33 ± 0.030.39 ± 0.030.34 ± 0.030.31 ± 0.020.31 ± 0.020.26 ± 0.020.27 ± 0.030.49 ± 0.03Steel-plates0.27 ± 0.000.32 ± 0.010.25 ± 0.020.28 ± 0.010.26 ± 0.020.26 ± 0.010.26 ± 0.020.25 ± 0.010.26 ± 0.020.38 ± 0.01Synthetic-control0.27 ± 0.010.13 ± 0.040.16 ± 0.030.10 ± 0.040.03 ± 0.040.02 ± 0.040.02 ± 0.040.04 ± 0.020.04 ± 0.020.38 ± 0.02Teaching0.45 ± 0.020.45 ± 0.030.46 ± 0.060.48 ± 0.080.53 ± 0.090.50 ± 0.080.50 ± 0.080.45 ± 0.040.46 ± 0.030.60 ± 0.06Thoraricsurgery0.35 ± 0.000.39 ± 0.070.37 ± 0.020.47 ± 0.060.39 ± 0.000.39 ± 0.010.39 ± 0.010.42 ± 0.050.41 ± 0.060.41 ± 0.02Thyroid0.27 ± 0.050.10 ± 0.090.19 ± 0.110.11 ± 0.090.40 ± 0.040.39 ± 0.040.39 ± 0.040.12 ± 0.080.12 ± 0.080.21 ± 0.14Thyroid-train0.20 ± 0.000.15 ± 0.020.03 ± 0.030.23 ± 0.020.18 ± 0.010.17 ± 0.010.16 ± 0.010.13 ± 0.030.15 ± 0.020.15 ± 0.02Tic-tac-toe0.46 ± 0.000.43 ± 0.010.23 ± 0.040.00 ± 0.000.09 ± 0.070.06 ± 0.070.02 ± 0.050.14 ± 0.030.13 ± 0.050.55 ± 0.02Titanic0.41 ± 0.010.42 ± 0.020.40 ± 0.020.39 ± 0.010.46 ± 0.020.46 ± 0.020.46 ± 0.020.40 ± 0.020.41 ± 0.020.47 ± 0.02Trains0.46 ± 0.080.40 ± 0.520.28 ± 0.460.42 ± 0.420.40 ± 0.520.30 ± 0.480.30 ± 0.480.28 ± 0.370.27 ± 0.371.00 ± 0.00Transfusion0.42 ± 0.010.43 ± 0.020.40 ± 0.020.53 ± 0.040.50 ± 0.030.52 ± 0.030.53 ± 0.030.39 ± 0.010.39 ± 0.010.49 ± 0.02Trial0.34 ± 0.010.30 ± 0.060.00 ± 0.000.02 ± 0.050.07 ± 0.060.06 ± 0.060.06 ± 0.060.06 ± 0.060.05 ± 0.060.00 ± 0.00Turkiye-student-evaluation0.40 ± 0.000.28 ± 0.020.01 ± 0.010.25 ± 0.020.17 ± 0.010.16 ± 0.010.16 ± 0.010.00 ± 0.000.00 ± 0.000.01 ± 0.01Unbalanced0.12 ± 0.020.27 ± 0.060.12 ± 0.020.14 ± 0.060.12 ± 0.020.13 ± 0.020.13 ± 0.030.13 ± 0.020.13 ± 0.020.12 ± 0.02Urbanlandcover0.26 ± 0.010.21 ± 0.050.21 ± 0.040.22 ± 0.060.43 ± 0.010.43 ± 0.010.43 ± 0.010.19 ± 0.060.19 ± 0.060.33 ± 0.05Userknowledgemodeling0.36 ± 0.020.23 ± 0.050.15 ± 0.060.30 ± 0.090.33 ± 0.050.27 ± 0.040.27 ± 0.040.17 ± 0.050.15 ± 0.070.26 ± 0.08Vehicle0.35 ± 0.010.46 ± 0.020.33 ± 0.030.39 ± 0.030.59 ± 0.010.59 ± 0.010.59 ± 0.010.26 ± 0.020.27 ± 0.030.49 ± 0.03Vertebral-column-2classes0.40 ± 0.040.42 ± 0.090.37 ± 0.070.42 ± 0.060.37 ± 0.080.38 ± 0.090.38 ± 0.080.32 ± 0.060.32 ± 0.060.51 ± 0.08Vertebral-column-3classes0.36 ± 0.020.28 ± 0.040.31 ± 0.040.37 ± 0.040.32 ± 0.060.31 ± 0.070.32 ± 0.060.26 ± 0.040.26 ± 0.040.40 ± 0.06Veteran0.43 ± 0.010.46 ± 0.070.45 ± 0.060.62 ± 0.070.54 ± 0.010.54 ± 0.010.54 ± 0.010.54 ± 0.120.51 ± 0.120.51 ± 0.08Vowel0.24 ± 0.000.21 ± 0.010.17 ± 0.020.03 ± 0.030.16 ± 0.010.13 ± 0.010.11 ± 0.020.11 ± 0.020.10 ± 0.020.35 ± 0.01Wall-following0.23 ± 0.010.44 ± 0.010.04 ± 0.020.24 ± 0.010.23 ± 0.020.22 ± 0.020.21 ± 0.020.23 ± 0.010.23 ± 0.020.35 ± 0.01Waveform-noise0.41 ± 0.000.34 ± 0.010.39 ± 0.010.42 ± 0.010.30 ± 0.020.31 ± 0.010.32 ± 0.020.31 ± 0.020.32 ± 0.020.56 ± 0.02Waveform0.39 ± 0.000.33 ± 0.010.38 ± 0.010.39 ± 0.020.30 ± 0.020.31 ± 0.010.31 ± 0.020.30 ± 0.010.32 ± 0.010.56 ± 0.01Wbc0.18 ± 0.030.14 ± 0.060.23 ± 0.020.18 ± 0.060.13 ± 0.080.13 ± 0.080.12 ± 0.090.19 ± 0.040.18 ± 0.050.30 ± 0.05Wdbc0.28 ± 0.020.24 ± 0.110.24 ± 0.100.20 ± 0.050.61 ± 0.010.61 ± 0.010.61 ± 0.010.16 ± 0.050.17 ± 0.070.32 ± 0.05Weathernominal0.49 ± 0.160.44 ± 0.170.42 ± 0.370.52 ± 0.250.38 ± 0.410.48 ± 0.430.31 ± 0.410.31 ± 0.400.31 ± 0.410.61 ± 0.44Weathernumeric0.57 ± 0.150.49 ± 0.200.27 ± 0.360.27 ± 0.340.38 ± 0.410.54 ± 0.480.54 ± 0.480.31 ± 0.410.31 ± 0.410.61 ± 0.44Website-phishingdata0.35 ± 0.000.28 ± 0.020.22 ± 0.020.25 ± 0.020.31 ± 0.010.30 ± 0.010.29 ± 0.020.25 ± 0.020.25 ± 0.030.35 ± 0.02Wholesalecustomersdata0.29 ± 0.020.30 ± 0.050.29 ± 0.040.34 ± 0.070.57 ± 0.010.57 ± 0.010.57 ± 0.010.25 ± 0.050.26 ± 0.050.30 ± 0.06Wifi-localization0.26 ± 0.010.09 ± 0.020.11 ± 0.010.09 ± 0.020.32 ± 0.020.31 ± 0.020.31 ± 0.020.09 ± 0.010.09 ± 0.010.32 ± 0.03Wilt0.22 ± 0.000.27 ± 0.010.13 ± 0.020.23 ± 0.010.23 ± 0.000.23 ± 0.000.23 ± 0.000.12 ± 0.030.12 ± 0.020.24 ± 0.00Wine-quality-red0.29 ± 0.010.32 ± 0.010.33 ± 0.010.34 ± 0.010.35 ± 0.010.35 ± 0.010.35 ± 0.010.30 ± 0.010.30 ± 0.010.39 ± 0.01Wine-quality-white0.29 ± 0.000.32 ± 0.000.32 ± 0.010.31 ± 0.010.35 ± 0.010.35 ± 0.010.35 ± 0.010.29 ± 0.000.29 ± 0.000.39 ± 0.01Wine0.27 ± 0.020.09 ± 0.100.17 ± 0.110.15 ± 0.100.04 ± 0.080.06 ± 0.090.06 ± 0.090.09 ± 0.080.09 ± 0.080.38 ± 0.08Yamilnaduelectricty0.21 ± 0.000.22 ± 0.000.25 ± 0.000.28 ± 0.000.31 ± 0.000.31 ± 0.000.31 ± 0.000.22 ± 0.000.22 ± 0.000.30 ± 0.00Yeast0.26 ± 0.000.24 ± 0.010.27 ± 0.010.31 ± 0.010.28 ± 0.010.28 ± 0.010.28 ± 0.020.24 ± 0.010.24 ± 0.010.35 ± 0.01Youtobe-kabita-preprocessing0.33 ± 0.000.37 ± 0.000.35 ± 0.010.40 ± 0.000.42 ± 0.010.43 ± 0.010.43 ± 0.010.33 ± 0.000.33 ± 0.000.44 ± 0.01Youtobe-nisha-preprocessing0.33 ± 0.000.36 ± 0.000.35 ± 0.010.39 ± 0.010.41 ± 0.010.42 ± 0.010.42 ± 0.010.33 ± 0.000.33 ± 0.000.44 ± 0.00Z-alizadehsani0.43 ± 0.010.39 ± 0.070.43 ± 0.090.46 ± 0.070.54 ± 0.010.54 ± 0.010.54 ± 0.010.37 ± 0.090.39 ± 0.070.54 ± 0.05Zoo0.23 ± 0.020.06 ± 0.090.10 ± 0.100.06 ± 0.070.08 ± 0.110.08 ± 0.110.08 ± 0.110.07 ± 0.070.07 ± 0.070.27 ± 0.06Average rmse (rank)0.3321 (5)0.3377 (6)0.2832 (2)0.3247 (4)0.3630 (9)0.3562 (8)0.3518 (7)0.2817 (1)0.2841 (3)0.3928 (10)Average rmse std (rank)0.0152 (1)0.0496 (4)0.0531 (7)0.0570 (9)0.0442 (2)0.0478 (3)0.0497 (5)0.0554 (8)0.0573 (10)0.0513 (6)Table 9
The detailed experimental results on mean absolute error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone0.34 ± 0.010.29 ± 0.010.29 ± 0.010.28 ± 0.020.22 ± 0.020.22 ± 0.020.22 ± 0.010.29 ± 0.010.29 ± 0.010.26 ± 0.01Absenteeism-at-work0.31 ± 0.010.16 ± 0.030.00 ± 0.010.16 ± 0.030.15 ± 0.030.15 ± 0.030.15 ± 0.030.04 ± 0.010.04 ± 0.020.05 ± 0.02Acute-inflammation0.23 ± 0.020.10 ± 0.030.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.21 ± 0.08Acute-nephritis0.21 ± 0.010.05 ± 0.050.00 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.08 ± 0.08Adult0.34 ± 0.000.20 ± 0.020.22 ± 0.030.22 ± 0.040.17 ± 0.040.17 ± 0.040.17 ± 0.040.21 ± 0.030.21 ± 0.030.20 ± 0.01Aggregation0.04 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.000.01 ± 0.010.12 ± 0.01Algerianforest0.30 ± 0.020.06 ± 0.050.05 ± 0.040.12 ± 0.070.41 ± 0.020.38 ± 0.040.38 ± 0.040.04 ± 0.030.04 ± 0.040.03 ± 0.05Annealing0.15 ± 0.000.12 ± 0.010.02 ± 0.010.04 ± 0.010.04 ± 0.010.03 ± 0.010.03 ± 0.010.04 ± 0.010.04 ± 0.010.07 ± 0.00Arrhythmia0.10 ± 0.000.06 ± 0.010.06 ± 0.010.07 ± 0.000.06 ± 0.000.05 ± 0.010.05 ± 0.010.05 ± 0.010.07 ± 0.020.06 ± 0.00Au1-10000.38 ± 0.000.36 ± 0.010.30 ± 0.030.32 ± 0.040.26 ± 0.000.26 ± 0.000.26 ± 0.010.31 ± 0.040.29 ± 0.040.26 ± 0.00Au4-25000.36 ± 0.000.32 ± 0.010.20 ± 0.030.24 ± 0.030.26 ± 0.020.26 ± 0.020.26 ± 0.020.24 ± 0.030.24 ± 0.030.31 ± 0.03Au6-10000.21 ± 0.000.21 ± 0.000.20 ± 0.010.22 ± 0.010.19 ± 0.000.19 ± 0.000.19 ± 0.000.21 ± 0.010.22 ± 0.010.19 ± 0.01Au6-250-drift-au6-cd1-5000.21 ± 0.000.21 ± 0.000.20 ± 0.010.21 ± 0.010.19 ± 0.000.19 ± 0.000.19 ± 0.000.21 ± 0.000.21 ± 0.010.19 ± 0.01Au6-cd1-4000.21 ± 0.000.20 ± 0.010.16 ± 0.020.21 ± 0.020.18 ± 0.000.18 ± 0.000.18 ± 0.000.20 ± 0.010.20 ± 0.010.17 ± 0.02Au7-300-drift-au7-cpd1-8000.31 ± 0.000.29 ± 0.000.26 ± 0.010.27 ± 0.020.29 ± 0.010.29 ± 0.010.29 ± 0.010.28 ± 0.010.28 ± 0.010.30 ± 0.01Au7-7000.26 ± 0.000.24 ± 0.010.20 ± 0.010.26 ± 0.020.25 ± 0.010.25 ± 0.010.25 ± 0.010.24 ± 0.010.24 ± 0.010.22 ± 0.02Au7-cpd1-5000.30 ± 0.000.28 ± 0.010.21 ± 0.020.25 ± 0.020.25 ± 0.000.25 ± 0.010.25 ± 0.010.25 ± 0.020.25 ± 0.020.24 ± 0.02Audiology-std0.09 ± 0.000.03 ± 0.010.03 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.03 ± 0.010.02 ± 0.010.03 ± 0.010.06 ± 0.00Audit-risk0.28 ± 0.010.05 ± 0.020.00 ± 0.000.02 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.010.04 ± 0.020.04 ± 0.020.00 ± 0.00Autism-adolescent-data0.37 ± 0.030.04 ± 0.030.00 ± 0.000.10 ± 0.060.04 ± 0.050.05 ± 0.050.04 ± 0.050.10 ± 0.090.10 ± 0.090.00 ± 0.00Autism-adult-data0.29 ± 0.010.03 ± 0.020.00 ± 0.000.05 ± 0.040.01 ± 0.010.00 ± 0.010.01 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.00Autism-child-data0.40 ± 0.010.04 ± 0.020.00 ± 0.000.12 ± 0.040.00 ± 0.010.00 ± 0.000.00 ± 0.000.01 ± 0.010.01 ± 0.010.00 ± 0.00Autos0.17 ± 0.010.13 ± 0.030.06 ± 0.020.07 ± 0.030.19 ± 0.010.18 ± 0.010.18 ± 0.010.07 ± 0.020.07 ± 0.010.11 ± 0.03Avila0.07 ± 0.000.13 ± 0.000.01 ± 0.000.04 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.08 ± 0.000.08 ± 0.000.05 ± 0.00Balance-scale0.28 ± 0.010.21 ± 0.010.19 ± 0.020.13 ± 0.030.06 ± 0.010.05 ± 0.010.04 ± 0.010.08 ± 0.010.08 ± 0.010.29 ± 0.03Balloons0.41 ± 0.120.50 ± 0.030.46 ± 0.190.34 ± 0.120.30 ± 0.350.20 ± 0.350.20 ± 0.350.28 ± 0.230.27 ± 0.240.55 ± 0.37Bank0.20 ± 0.000.18 ± 0.010.14 ± 0.010.14 ± 0.010.10 ± 0.010.10 ± 0.010.10 ± 0.010.13 ± 0.010.13 ± 0.020.11 ± 0.01Blood0.35 ± 0.010.29 ± 0.020.30 ± 0.010.32 ± 0.040.22 ± 0.020.21 ± 0.020.22 ± 0.010.30 ± 0.020.30 ± 0.020.24 ± 0.02Breast-cancer-wisc-diag0.25 ± 0.020.07 ± 0.040.07 ± 0.040.04 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.010.04 ± 0.020.04 ± 0.020.11 ± 0.04Breast-cancer-wisc-prog0.36 ± 0.010.34 ± 0.090.29 ± 0.060.27 ± 0.090.21 ± 0.060.22 ± 0.090.22 ± 0.100.27 ± 0.090.27 ± 0.110.30 ± 0.08Breast-cancer-wisc0.14 ± 0.020.04 ± 0.020.07 ± 0.030.05 ± 0.030.03 ± 0.020.03 ± 0.020.03 ± 0.020.06 ± 0.030.05 ± 0.020.07 ± 0.05Breast-cancer0.39 ± 0.010.32 ± 0.040.37 ± 0.030.30 ± 0.080.26 ± 0.050.27 ± 0.050.28 ± 0.050.32 ± 0.060.33 ± 0.040.30 ± 0.05Breast-tissue0.19 ± 0.020.11 ± 0.040.11 ± 0.050.11 ± 0.040.14 ± 0.050.11 ± 0.060.10 ± 0.060.14 ± 0.020.14 ± 0.030.15 ± 0.03Bupa0.45 ± 0.010.46 ± 0.030.40 ± 0.080.38 ± 0.050.41 ± 0.020.41 ± 0.020.41 ± 0.020.37 ± 0.040.36 ± 0.040.46 ± 0.08Caesarian0.43 ± 0.050.41 ± 0.100.46 ± 0.060.47 ± 0.140.45 ± 0.060.38 ± 0.120.41 ± 0.170.44 ± 0.180.44 ± 0.170.51 ± 0.18Car0.22 ± 0.000.12 ± 0.010.01 ± 0.000.02 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.000.04 ± 0.010.04 ± 0.010.15 ± 0.00Cardiotocography-10classes0.14 ± 0.000.06 ± 0.000.04 ± 0.000.04 ± 0.010.04 ± 0.000.04 ± 0.010.03 ± 0.000.04 ± 0.010.04 ± 0.000.10 ± 0.00Cardiotocography-3classes0.22 ± 0.000.12 ± 0.020.06 ± 0.020.05 ± 0.010.06 ± 0.010.05 ± 0.010.05 ± 0.010.06 ± 0.010.06 ± 0.010.12 ± 0.02Cervical-cancer0.34 ± 0.030.10 ± 0.070.16 ± 0.120.12 ± 0.110.29 ± 0.030.26 ± 0.070.26 ± 0.070.08 ± 0.080.07 ± 0.080.22 ± 0.09Chemicalcomposionofceramic0.24 ± 0.020.00 ± 0.000.01 ± 0.040.01 ± 0.000.54 ± 0.020.54 ± 0.020.54 ± 0.020.01 ± 0.000.00 ± 0.000.00 ± 0.00Chess-krvk0.10 ± 0.000.09 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.06 ± 0.000.07 ± 0.000.07 ± 0.000.08 ± 0.00Chess-krvkp0.47 ± 0.000.21 ± 0.020.01 ± 0.000.10 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.34 ± 0.01Congressional-voting0.47 ± 0.000.45 ± 0.040.46 ± 0.030.45 ± 0.050.38 ± 0.040.39 ± 0.050.39 ± 0.060.43 ± 0.030.43 ± 0.030.37 ± 0.03Conn-bench-sonar-mines-rocks0.45 ± 0.010.31 ± 0.090.29 ± 0.070.14 ± 0.070.16 ± 0.070.13 ± 0.080.12 ± 0.080.20 ± 0.090.18 ± 0.090.37 ± 0.10Conn-bench-vowel-deterding0.11 ± 0.000.08 ± 0.010.04 ± 0.010.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.04 ± 0.010.04 ± 0.010.12 ± 0.01Connect-40.38 ± 0.000.38 ± 0.010.24 ± 0.020.29 ± 0.030.26 ± 0.000.24 ± 0.010.23 ± 0.020.27 ± 0.020.26 ± 0.020.26 ± 0.00Connectionist0.45 ± 0.010.32 ± 0.110.27 ± 0.070.13 ± 0.060.39 ± 0.090.30 ± 0.120.27 ± 0.120.17 ± 0.080.17 ± 0.080.37 ± 0.07Contrac0.42 ± 0.000.37 ± 0.020.34 ± 0.020.38 ± 0.020.30 ± 0.010.30 ± 0.020.31 ± 0.030.35 ± 0.010.34 ± 0.010.35 ± 0.01Covid-190.32 ± 0.080.29 ± 0.170.24 ± 0.240.33 ± 0.230.27 ± 0.260.30 ± 0.290.23 ± 0.270.23 ± 0.230.22 ± 0.230.13 ± 0.23Credit-approval0.41 ± 0.010.23 ± 0.030.19 ± 0.030.18 ± 0.060.15 ± 0.050.15 ± 0.050.15 ± 0.050.16 ± 0.030.17 ± 0.040.14 ± 0.04Crowdsource0.12 ± 0.000.06 ± 0.010.04 ± 0.000.02 ± 0.000.08 ± 0.000.08 ± 0.000.08 ± 0.000.03 ± 0.010.03 ± 0.010.07 ± 0.01Crx0.41 ± 0.010.22 ± 0.030.19 ± 0.030.19 ± 0.050.44 ± 0.040.43 ± 0.040.42 ± 0.050.18 ± 0.040.17 ± 0.020.14 ± 0.04Cryother0.32 ± 0.050.18 ± 0.110.11 ± 0.070.11 ± 0.080.18 ± 0.130.17 ± 0.130.17 ± 0.130.14 ± 0.080.17 ± 0.090.19 ± 0.11Cylinder-bands0.45 ± 0.010.33 ± 0.060.29 ± 0.060.31 ± 0.070.24 ± 0.040.21 ± 0.040.19 ± 0.030.27 ± 0.050.26 ± 0.050.33 ± 0.04Dbworld-bodies0.49 ± 0.010.24 ± 0.150.21 ± 0.160.41 ± 0.100.45 ± 0.060.45 ± 0.060.36 ± 0.13//0.14 ± 0.13Dbworld-bodies-stemmed0.48 ± 0.010.23 ± 0.130.15 ± 0.130.36 ± 0.140.45 ± 0.060.41 ± 0.090.26 ± 0.13//0.26 ± 0.20Dbworld-subjects0.49 ± 0.010.17 ± 0.100.30 ± 0.100.25 ± 0.120.45 ± 0.060.45 ± 0.060.45 ± 0.060.13 ± 0.120.13 ± 0.140.37 ± 0.12Dbworld-subjects-stemmed0.49 ± 0.010.17 ± 0.110.27 ± 0.140.19 ± 0.090.45 ± 0.060.45 ± 0.060.45 ± 0.060.14 ± 0.120.14 ± 0.110.39 ± 0.10Dermatology0.19 ± 0.000.01 ± 0.010.02 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.000.01 ± 0.000.17 ± 0.01Diabetes0.39 ± 0.020.28 ± 0.030.32 ± 0.050.30 ± 0.050.35 ± 0.000.35 ± 0.000.35 ± 0.000.30 ± 0.020.29 ± 0.020.29 ± 0.05Diabetic0.46 ± 0.010.43 ± 0.020.38 ± 0.030.39 ± 0.050.42 ± 0.050.41 ± 0.060.40 ± 0.060.33 ± 0.030.33 ± 0.030.47 ± 0.06Divorce0.10 ± 0.030.02 ± 0.030.06 ± 0.060.03 ± 0.030.02 ± 0.030.02 ± 0.030.02 ± 0.030.02 ± 0.030.02 ± 0.030.05 ± 0.05Dota2train0.50 ± 0.000.47 ± 0.020.47 ± 0.040.45 ± 0.030.47 ± 0.000.46 ± 0.040.47 ± 0.030.50 ± 0.030.48 ± 0.020.45 ± 0.04Dow-jones-index0.45 ± 0.020.50 ± 0.030.29 ± 0.040.45 ± 0.060.48 ± 0.000.48 ± 0.000.48 ± 0.000.46 ± 0.030.45 ± 0.030.44 ± 0.03Dry-bean-dataset0.06 ± 0.000.03 ± 0.000.02 ± 0.000.02 ± 0.000.11 ± 0.010.11 ± 0.010.11 ± 0.010.03 ± 0.000.03 ± 0.000.09 ± 0.01Early-stage-diabetes-data-upload0.37 ± 0.010.15 ± 0.030.05 ± 0.030.02 ± 0.020.06 ± 0.040.05 ± 0.040.05 ± 0.040.04 ± 0.020.04 ± 0.030.18 ± 0.04Echocardiogram0.40 ± 0.030.22 ± 0.110.24 ± 0.100.26 ± 0.130.18 ± 0.080.19 ± 0.110.19 ± 0.110.24 ± 0.120.23 ± 0.120.15 ± 0.07Ecoli0.14 ± 0.000.04 ± 0.010.05 ± 0.020.05 ± 0.020.03 ± 0.010.03 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.08 ± 0.02Eegeyesate0.45 ± 0.000.53 ± 0.020.17 ± 0.010.16 ± 0.020.45 ± 0.000.45 ± 0.000.45 ± 0.000.49 ± 0.010.48 ± 0.010.37 ± 0.01Electrical0.30 ± 0.030.06 ± 0.030.00 ± 0.000.09 ± 0.070.17 ± 0.080.17 ± 0.070.16 ± 0.060.02 ± 0.020.02 ± 0.010.00 ± 0.01Energy-y10.25 ± 0.000.13 ± 0.010.02 ± 0.010.16 ± 0.030.08 ± 0.010.07 ± 0.010.07 ± 0.020.09 ± 0.010.09 ± 0.010.10 ± 0.01Energy-y20.23 ± 0.000.11 ± 0.010.09 ± 0.010.16 ± 0.020.07 ± 0.010.06 ± 0.010.06 ± 0.010.08 ± 0.010.08 ± 0.020.08 ± 0.02Extentionofz-alizadehsani0.38 ± 0.010.08 ± 0.040.01 ± 0.010.10 ± 0.050.29 ± 0.010.29 ± 0.010.29 ± 0.010.02 ± 0.020.02 ± 0.020.14 ± 0.05Fertility0.21 ± 0.030.20 ± 0.030.22 ± 0.040.18 ± 0.110.12 ± 0.040.11 ± 0.060.11 ± 0.070.13 ± 0.080.13 ± 0.100.12 ± 0.04First-order0.17 ± 0.000.68 ± 0.040.00 ± 0.000.01 ± 0.000.10 ± 0.000.05 ± 0.010.02 ± 0.010.00 ± 0.000.00 ± 0.000.09 ± 0.02Flags0.18 ± 0.000.13 ± 0.010.11 ± 0.020.14 ± 0.020.12 ± 0.020.11 ± 0.030.12 ± 0.030.14 ± 0.030.13 ± 0.030.11 ± 0.02Foresttypes0.23 ± 0.010.03 ± 0.020.03 ± 0.030.03 ± 0.020.35 ± 0.010.34 ± 0.020.34 ± 0.020.03 ± 0.020.02 ± 0.020.09 ± 0.04Garments-worker-productivity0.29 ± 0.000.29 ± 0.010.22 ± 0.020.30 ± 0.010.26 ± 0.010.26 ± 0.010.25 ± 0.010.26 ± 0.010.26 ± 0.010.27 ± 0.01Gender-name-dataset0.47 ± 0.000.42 ± 0.040.48 ± 0.000.41 ± 0.010.36 ± 0.010.36 ± 0.020.36 ± 0.020.48 ± 0.010.48 ± 0.010.39 ± 0.01Gesture-a1-raw0.12 ± 0.000.11 ± 0.010.04 ± 0.010.02 ± 0.000.24 ± 0.000.24 ± 0.000.24 ± 0.000.04 ± 0.010.04 ± 0.000.01 ± 0.01Gesture-a1-va30.21 ± 0.010.16 ± 0.010.14 ± 0.020.10 ± 0.010.24 ± 0.000.24 ± 0.000.24 ± 0.000.14 ± 0.010.14 ± 0.010.15 ± 0.01Gesture-a2-raw0.13 ± 0.000.13 ± 0.010.05 ± 0.010.02 ± 0.010.24 ± 0.000.24 ± 0.000.24 ± 0.000.05 ± 0.010.05 ± 0.010.02 ± 0.01Gesture-a2-va30.23 ± 0.010.23 ± 0.030.18 ± 0.010.13 ± 0.020.24 ± 0.000.24 ± 0.000.24 ± 0.000.18 ± 0.010.18 ± 0.020.18 ± 0.02Gesture-a3-raw0.10 ± 0.000.16 ± 0.010.03 ± 0.000.02 ± 0.000.26 ± 0.000.26 ± 0.000.26 ± 0.000.05 ± 0.010.05 ± 0.010.02 ± 0.00Gesture-a3-va30.24 ± 0.000.20 ± 0.010.10 ± 0.010.04 ± 0.010.26 ± 0.000.26 ± 0.000.26 ± 0.000.17 ± 0.010.16 ± 0.010.20 ± 0.01Gesture-b1-raw0.10 ± 0.010.18 ± 0.010.03 ± 0.010.02 ± 0.010.20 ± 0.000.20 ± 0.000.20 ± 0.000.05 ± 0.010.04 ± 0.010.03 ± 0.01Gesture-b1-va30.24 ± 0.010.26 ± 0.030.13 ± 0.020.04 ± 0.010.25 ± 0.000.25 ± 0.000.25 ± 0.000.18 ± 0.010.17 ± 0.020.23 ± 0.02Gesture-b3-raw0.15 ± 0.010.18 ± 0.010.04 ± 0.010.02 ± 0.000.27 ± 0.000.27 ± 0.000.27 ± 0.000.06 ± 0.010.06 ± 0.010.02 ± 0.01Gesture-b3-va30.28 ± 0.000.23 ± 0.010.18 ± 0.010.09 ± 0.010.27 ± 0.000.27 ± 0.000.27 ± 0.000.19 ± 0.010.19 ± 0.010.24 ± 0.02Gesture-c1-raw0.15 ± 0.010.15 ± 0.010.05 ± 0.010.02 ± 0.010.30 ± 0.000.30 ± 0.000.30 ± 0.000.06 ± 0.010.06 ± 0.010.02 ± 0.01Gesture-c1-va30.26 ± 0.010.20 ± 0.010.17 ± 0.010.12 ± 0.010.30 ± 0.000.30 ± 0.000.30 ± 0.000.16 ± 0.010.16 ± 0.010.23 ± 0.02Gesture-c3-raw0.14 ± 0.010.16 ± 0.020.05 ± 0.010.03 ± 0.010.29 ± 0.000.29 ± 0.000.29 ± 0.000.07 ± 0.010.07 ± 0.010.02 ± 0.01Gesture-c3-va30.27 ± 0.010.22 ± 0.010.19 ± 0.020.15 ± 0.020.29 ± 0.000.29 ± 0.000.29 ± 0.000.19 ± 0.010.20 ± 0.020.23 ± 0.01Glass0.18 ± 0.010.18 ± 0.020.12 ± 0.020.10 ± 0.030.09 ± 0.020.09 ± 0.030.10 ± 0.030.13 ± 0.020.12 ± 0.010.14 ± 0.03Go-track-tracks0.34 ± 0.040.19 ± 0.050.14 ± 0.070.10 ± 0.080.28 ± 0.130.28 ± 0.120.28 ± 0.120.19 ± 0.060.18 ± 0.050.24 ± 0.14Haberman-survival0.37 ± 0.010.33 ± 0.030.36 ± 0.030.34 ± 0.070.27 ± 0.050.29 ± 0.030.29 ± 0.030.35 ± 0.030.35 ± 0.030.27 ± 0.03Hayes-roth0.27 ± 0.020.29 ± 0.020.13 ± 0.030.09 ± 0.040.09 ± 0.050.13 ± 0.040.13 ± 0.040.22 ± 0.070.21 ± 0.070.37 ± 0.04Hcc-data0.45 ± 0.010.33 ± 0.060.43 ± 0.060.37 ± 0.080.38 ± 0.020.38 ± 0.020.38 ± 0.020.36 ± 0.120.36 ± 0.100.31 ± 0.11Hcvdat0.08 ± 0.000.04 ± 0.010.03 ± 0.010.04 ± 0.010.05 ± 0.000.05 ± 0.000.05 ± 0.000.03 ± 0.010.03 ± 0.010.05 ± 0.01Heart-cleveland0.24 ± 0.010.18 ± 0.030.21 ± 0.020.18 ± 0.030.17 ± 0.030.16 ± 0.040.17 ± 0.040.19 ± 0.020.18 ± 0.020.19 ± 0.03Heart-hungarian0.36 ± 0.020.19 ± 0.070.27 ± 0.050.23 ± 0.080.18 ± 0.080.18 ± 0.060.17 ± 0.060.23 ± 0.080.23 ± 0.070.21 ± 0.09Heart-switzerland0.28 ± 0.010.26 ± 0.020.26 ± 0.040.27 ± 0.050.24 ± 0.030.24 ± 0.020.23 ± 0.030.24 ± 0.050.23 ± 0.040.27 ± 0.05Heart-va0.30 ± 0.000.28 ± 0.020.28 ± 0.020.26 ± 0.030.26 ± 0.040.27 ± 0.030.28 ± 0.040.29 ± 0.020.29 ± 0.030.29 ± 0.04Heart-failure-clinical-records-dataset0.41 ± 0.010.25 ± 0.040.24 ± 0.050.35 ± 0.070.32 ± 0.020.32 ± 0.020.32 ± 0.020.27 ± 0.050.24 ± 0.080.14 ± 0.06Hepatitis0.30 ± 0.020.18 ± 0.080.24 ± 0.070.18 ± 0.050.17 ± 0.060.16 ± 0.090.16 ± 0.090.20 ± 0.090.22 ± 0.110.26 ± 0.07Hill-valley0.50 ± 0.010.51 ± 0.020.50 ± 0.000.48 ± 0.030.48 ± 0.070.48 ± 0.070.47 ± 0.070.46 ± 0.020.45 ± 0.020.52 ± 0.05Hiv1625data0.18 ± 0.010.07 ± 0.020.13 ± 0.020.11 ± 0.010.08 ± 0.020.07 ± 0.020.06 ± 0.020.05 ± 0.020.07 ± 0.020.21 ± 0.02Hiv746data0.25 ± 0.020.11 ± 0.030.25 ± 0.030.17 ± 0.030.10 ± 0.040.09 ± 0.030.09 ± 0.030.08 ± 0.020.08 ± 0.030.19 ± 0.04Horse-colic0.41 ± 0.010.27 ± 0.060.16 ± 0.040.24 ± 0.070.16 ± 0.050.15 ± 0.050.15 ± 0.060.23 ± 0.050.22 ± 0.070.18 ± 0.05Htru0.06 ± 0.000.06 ± 0.000.03 ± 0.000.03 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.03 ± 0.000.03 ± 0.000.02 ± 0.00Hypothyroid0.07 ± 0.000.04 ± 0.000.00 ± 0.000.04 ± 0.010.04 ± 0.000.04 ± 0.000.04 ± 0.000.04 ± 0.020.04 ± 0.030.02 ± 0.00Ibeacon-rssi-labeled0.02 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.02 ± 0.00Ilpd-indian-liver0.39 ± 0.010.44 ± 0.050.39 ± 0.030.35 ± 0.060.29 ± 0.010.29 ± 0.020.29 ± 0.030.34 ± 0.030.34 ± 0.030.34 ± 0.03Image-segmentation0.15 ± 0.010.06 ± 0.020.04 ± 0.020.04 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.04 ± 0.010.12 ± 0.03Immunotherapy0.30 ± 0.020.31 ± 0.060.23 ± 0.080.30 ± 0.160.21 ± 0.040.21 ± 0.040.21 ± 0.040.19 ± 0.080.20 ± 0.080.16 ± 0.09Impensdata0.21 ± 0.010.13 ± 0.020.27 ± 0.000.16 ± 0.020.16 ± 0.000.16 ± 0.000.16 ± 0.000.10 ± 0.020.11 ± 0.030.16 ± 0.02In-vehicle-coupon-recommendation0.48 ± 0.000.41 ± 0.010.38 ± 0.010.36 ± 0.010.31 ± 0.010.31 ± 0.010.30 ± 0.010.30 ± 0.010.29 ± 0.010.39 ± 0.01Indian0.38 ± 0.010.44 ± 0.050.33 ± 0.040.36 ± 0.070.28 ± 0.020.28 ± 0.010.28 ± 0.010.35 ± 0.030.34 ± 0.030.34 ± 0.03Ionosphere0.24 ± 0.020.17 ± 0.050.09 ± 0.030.14 ± 0.050.06 ± 0.020.05 ± 0.030.04 ± 0.030.10 ± 0.020.10 ± 0.030.19 ± 0.07Iris0.17 ± 0.020.04 ± 0.030.03 ± 0.030.04 ± 0.040.02 ± 0.020.03 ± 0.030.02 ± 0.020.03 ± 0.030.03 ± 0.020.05 ± 0.04Jain0.08 ± 0.030.07 ± 0.030.01 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.07 ± 0.020.07 ± 0.020.05 ± 0.03Jsbach-chorals-harmony0.17 ± 0.000.05 ± 0.010.05 ± 0.010.03 ± 0.000.04 ± 0.010.03 ± 0.000.03 ± 0.010.03 ± 0.010.03 ± 0.010.04 ± 0.01Knowledge0.27 ± 0.010.13 ± 0.040.04 ± 0.030.13 ± 0.040.08 ± 0.050.06 ± 0.040.04 ± 0.040.05 ± 0.020.05 ± 0.030.09 ± 0.05Lasvegastripadvisorreviews0.24 ± 0.000.24 ± 0.010.24 ± 0.010.24 ± 0.010.25 ± 0.010.25 ± 0.010.25 ± 0.010.24 ± 0.010.24 ± 0.010.24 ± 0.01Leaf0.05 ± 0.000.02 ± 0.000.03 ± 0.000.06 ± 0.000.06 ± 0.000.05 ± 0.000.05 ± 0.000.04 ± 0.000.04 ± 0.000.05 ± 0.00Led-display0.15 ± 0.000.08 ± 0.000.08 ± 0.000.08 ± 0.000.06 ± 0.010.06 ± 0.010.06 ± 0.010.08 ± 0.000.07 ± 0.000.16 ± 0.00Lenses0.28 ± 0.070.37 ± 0.090.15 ± 0.190.13 ± 0.110.14 ± 0.200.11 ± 0.150.11 ± 0.150.19 ± 0.150.20 ± 0.160.22 ± 0.20Letter0.07 ± 0.000.03 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.000.02 ± 0.000.06 ± 0.00Libras0.10 ± 0.000.05 ± 0.010.04 ± 0.010.02 ± 0.010.03 ± 0.010.02 ± 0.010.02 ± 0.010.03 ± 0.010.03 ± 0.010.11 ± 0.01Low-res-spect0.11 ± 0.000.04 ± 0.010.04 ± 0.010.04 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.06 ± 0.01Lung-cancer0.41 ± 0.020.25 ± 0.110.39 ± 0.160.34 ± 0.220.31 ± 0.150.27 ± 0.140.32 ± 0.170.35 ± 0.140.35 ± 0.150.35 ± 0.12Lymphography0.23 ± 0.000.10 ± 0.030.14 ± 0.040.13 ± 0.060.07 ± 0.050.07 ± 0.050.08 ± 0.040.10 ± 0.040.10 ± 0.030.12 ± 0.04Magic0.34 ± 0.010.28 ± 0.020.22 ± 0.020.20 ± 0.020.15 ± 0.020.15 ± 0.020.15 ± 0.010.19 ± 0.020.20 ± 0.020.28 ± 0.04Mammographic0.36 ± 0.010.24 ± 0.030.25 ± 0.020.26 ± 0.050.17 ± 0.020.18 ± 0.030.17 ± 0.030.25 ± 0.020.26 ± 0.030.18 ± 0.01Miniboone0.30 ± 0.000.71 ± 0.010.14 ± 0.020.17 ± 0.020.15 ± 0.020.14 ± 0.020.14 ± 0.020.21 ± 0.030.21 ± 0.030.18 ± 0.02Molec-biol-promoter0.45 ± 0.020.13 ± 0.080.27 ± 0.100.28 ± 0.120.17 ± 0.130.15 ± 0.120.15 ± 0.120.23 ± 0.090.23 ± 0.090.30 ± 0.11Molec-biol-splice0.40 ± 0.000.07 ± 0.010.06 ± 0.010.25 ± 0.010.09 ± 0.010.08 ± 0.010.09 ± 0.010.11 ± 0.010.11 ± 0.010.24 ± 0.02Monks-10.39 ± 0.030.37 ± 0.080.04 ± 0.070.31 ± 0.090.19 ± 0.120.17 ± 0.110.17 ± 0.100.14 ± 0.140.12 ± 0.160.27 ± 0.10Monks-20.47 ± 0.020.48 ± 0.030.27 ± 0.100.39 ± 0.110.42 ± 0.070.39 ± 0.130.36 ± 0.120.29 ± 0.090.27 ± 0.080.41 ± 0.05Monks-30.37 ± 0.030.27 ± 0.040.11 ± 0.080.25 ± 0.150.10 ± 0.080.11 ± 0.080.11 ± 0.080.17 ± 0.100.13 ± 0.060.22 ± 0.04Mushroom0.33 ± 0.000.12 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.00Musk-10.40 ± 0.010.26 ± 0.070.16 ± 0.070.15 ± 0.050.09 ± 0.040.08 ± 0.030.06 ± 0.030.07 ± 0.020.07 ± 0.020.38 ± 0.09Musk-20.20 ± 0.000.15 ± 0.020.05 ± 0.010.04 ± 0.010.04 ± 0.010.03 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.010.10 ± 0.01Newdiagnosis0.23 ± 0.020.10 ± 0.030.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.00 ± 0.000.22 ± 0.07Nursery0.24 ± 0.000.08 ± 0.000.00 ± 0.000.05 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.02 ± 0.010.03 ± 0.010.12 ± 0.00Obesitydataset-raw-and-data-sinthetic0.19 ± 0.000.11 ± 0.000.02 ± 0.010.05 ± 0.010.03 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.010.02 ± 0.000.09 ± 0.01Obs-network-dataset-2-aug270.15 ± 0.010.14 ± 0.030.00 ± 0.010.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.03 ± 0.010.02 ± 0.010.05 ± 0.01Occupancy-data0.09 ± 0.010.05 ± 0.010.02 ± 0.010.01 ± 0.010.19 ± 0.020.18 ± 0.020.18 ± 0.020.04 ± 0.010.03 ± 0.010.01 ± 0.01Occupancy-data20.07 ± 0.000.04 ± 0.000.01 ± 0.000.01 ± 0.000.16 ± 0.010.14 ± 0.010.14 ± 0.010.01 ± 0.000.01 ± 0.000.01 ± 0.00Occupancy-data30.05 ± 0.000.02 ± 0.010.01 ± 0.000.01 ± 0.000.17 ± 0.010.15 ± 0.010.15 ± 0.010.01 ± 0.000.01 ± 0.000.01 ± 0.00Old0.42 ± 0.000.08 ± 0.010.06 ± 0.010.03 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.010.03 ± 0.010.03 ± 0.010.11 ± 0.02Online-shoppers-intention0.24 ± 0.000.23 ± 0.010.14 ± 0.000.18 ± 0.010.15 ± 0.000.16 ± 0.000.16 ± 0.000.13 ± 0.010.14 ± 0.020.12 ± 0.01Oocytes-merluccius-nucleus-4d0.39 ± 0.010.40 ± 0.040.29 ± 0.040.28 ± 0.040.23 ± 0.030.20 ± 0.030.19 ± 0.030.20 ± 0.030.21 ± 0.030.33 ± 0.05Oocytes-merluccius-states-2f0.17 ± 0.010.10 ± 0.020.07 ± 0.020.06 ± 0.020.06 ± 0.020.05 ± 0.010.05 ± 0.010.06 ± 0.010.06 ± 0.010.12 ± 0.03Oocytes-trisopterus-nucleus-2f0.44 ± 0.010.46 ± 0.050.30 ± 0.050.26 ± 0.060.19 ± 0.040.16 ± 0.030.17 ± 0.030.18 ± 0.030.19 ± 0.030.41 ± 0.06Oocytes-trisopterus-states-5b0.20 ± 0.020.16 ± 0.030.09 ± 0.020.06 ± 0.020.05 ± 0.020.05 ± 0.020.05 ± 0.020.05 ± 0.020.05 ± 0.020.13 ± 0.02Optdigits0.16 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.000.05 ± 0.000.05 ± 0.000.05 ± 0.000.01 ± 0.000.00 ± 0.000.15 ± 0.00Optical0.16 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.14 ± 0.00Ozone0.06 ± 0.000.29 ± 0.040.05 ± 0.010.05 ± 0.010.03 ± 0.000.03 ± 0.000.03 ± 0.000.04 ± 0.010.03 ± 0.010.03 ± 0.00Page-blocks0.05 ± 0.000.04 ± 0.010.02 ± 0.000.02 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.02 ± 0.00Parkingbirmingham0.01 ± 0.000.02 ± 0.000.00 ± 0.000.00 ± 0.000.03 ± 0.000.03 ± 0.000.03 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.00Parkinsons0.28 ± 0.030.31 ± 0.110.20 ± 0.030.04 ± 0.020.12 ± 0.060.10 ± 0.060.09 ± 0.060.12 ± 0.060.11 ± 0.070.14 ± 0.08Pasture0.37 ± 0.040.18 ± 0.150.16 ± 0.130.21 ± 0.170.48 ± 0.030.48 ± 0.030.48 ± 0.030.19 ± 0.160.20 ± 0.160.24 ± 0.18Pbc0.40 ± 0.010.24 ± 0.060.29 ± 0.060.40 ± 0.090.39 ± 0.010.39 ± 0.010.39 ± 0.010.29 ± 0.050.27 ± 0.030.28 ± 0.09Pen0.12 ± 0.000.03 ± 0.000.01 ± 0.000.00 ± 0.000.17 ± 0.000.17 ± 0.000.17 ± 0.000.01 ± 0.000.01 ± 0.000.12 ± 0.00Pendigits0.12 ± 0.000.03 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.12 ± 0.00Pharynx0.36 ± 0.020.39 ± 0.040.36 ± 0.010.36 ± 0.100.25 ± 0.090.27 ± 0.110.30 ± 0.110.29 ± 0.040.30 ± 0.160.73 ± 0.06Phishingwebsites0.43 ± 0.000.09 ± 0.010.06 ± 0.000.03 ± 0.010.05 ± 0.010.05 ± 0.010.05 ± 0.000.03 ± 0.000.03 ± 0.000.11 ± 0.01Pima0.39 ± 0.010.28 ± 0.030.32 ± 0.050.30 ± 0.050.24 ± 0.040.25 ± 0.040.25 ± 0.030.30 ± 0.020.29 ± 0.020.29 ± 0.05Pittsburg-bridges-rel-l0.34 ± 0.020.26 ± 0.060.31 ± 0.070.20 ± 0.110.22 ± 0.080.21 ± 0.080.18 ± 0.070.27 ± 0.070.26 ± 0.070.19 ± 0.07Pittsburg-bridges-span0.35 ± 0.010.26 ± 0.050.30 ± 0.070.30 ± 0.100.23 ± 0.100.24 ± 0.110.24 ± 0.110.24 ± 0.040.22 ± 0.070.30 ± 0.09Pittsburg-bridges-t-or-d0.22 ± 0.040.20 ± 0.070.21 ± 0.090.17 ± 0.120.14 ± 0.080.12 ± 0.080.11 ± 0.080.15 ± 0.120.16 ± 0.130.15 ± 0.10Pittsburg-bridges-type0.23 ± 0.010.17 ± 0.020.17 ± 0.020.15 ± 0.040.15 ± 0.040.13 ± 0.060.13 ± 0.040.15 ± 0.050.15 ± 0.050.15 ± 0.02Pittsburg-bridgesmaterial0.21 ± 0.020.13 ± 0.050.13 ± 0.040.12 ± 0.070.09 ± 0.040.10 ± 0.040.11 ± 0.060.13 ± 0.060.15 ± 0.060.09 ± 0.03Planning0.41 ± 0.010.43 ± 0.030.41 ± 0.010.34 ± 0.090.29 ± 0.020.30 ± 0.060.34 ± 0.070.41 ± 0.050.43 ± 0.080.38 ± 0.09Plant-margin0.02 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.00Plant-shape0.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.00Plant-texture0.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.00Poker-hand-training-true0.11 ± 0.000.11 ± 0.000.10 ± 0.000.11 ± 0.000.08 ± 0.000.08 ± 0.000.09 ± 0.000.11 ± 0.000.11 ± 0.000.10 ± 0.00Post-operative0.28 ± 0.020.30 ± 0.040.28 ± 0.020.29 ± 0.070.19 ± 0.040.21 ± 0.050.22 ± 0.060.28 ± 0.070.29 ± 0.080.21 ± 0.05Primary-tumor0.11 ± 0.000.08 ± 0.010.09 ± 0.010.09 ± 0.010.07 ± 0.010.07 ± 0.010.07 ± 0.020.08 ± 0.010.08 ± 0.010.10 ± 0.00Qsarbioconcentration0.38 ± 0.000.38 ± 0.020.39 ± 0.020.38 ± 0.060.25 ± 0.010.27 ± 0.020.29 ± 0.030.39 ± 0.020.39 ± 0.020.27 ± 0.03Qsarbiodegradation0.39 ± 0.010.24 ± 0.030.19 ± 0.030.16 ± 0.020.14 ± 0.030.14 ± 0.020.14 ± 0.020.14 ± 0.020.14 ± 0.020.23 ± 0.04Qualitative-bankruptcy0.13 ± 0.010.01 ± 0.020.02 ± 0.030.00 ± 0.000.01 ± 0.030.01 ± 0.030.00 ± 0.010.01 ± 0.020.01 ± 0.020.02 ± 0.03Ringnorm0.30 ± 0.010.02 ± 0.000.09 ± 0.000.25 ± 0.020.01 ± 0.000.02 ± 0.000.02 ± 0.000.08 ± 0.010.09 ± 0.010.36 ± 0.01Risk-factors-cervical-cancer0.12 ± 0.010.11 ± 0.010.06 ± 0.020.06 ± 0.020.06 ± 0.010.07 ± 0.010.06 ± 0.020.05 ± 0.020.05 ± 0.020.04 ± 0.02Robotnavigation0.16 ± 0.000.24 ± 0.010.00 ± 0.000.06 ± 0.010.05 ± 0.010.04 ± 0.000.04 ± 0.000.07 ± 0.010.06 ± 0.010.12 ± 0.01Sapfile0.41 ± 0.010.33 ± 0.040.40 ± 0.080.41 ± 0.060.34 ± 0.060.34 ± 0.050.34 ± 0.060.35 ± 0.050.35 ± 0.070.39 ± 0.08Sat0.14 ± 0.000.07 ± 0.000.05 ± 0.000.03 ± 0.000.25 ± 0.000.24 ± 0.000.24 ± 0.000.04 ± 0.000.04 ± 0.000.13 ± 0.00Satelite0.14 ± 0.000.07 ± 0.000.05 ± 0.000.03 ± 0.000.25 ± 0.000.24 ± 0.000.24 ± 0.000.04 ± 0.000.04 ± 0.000.13 ± 0.01Scadi0.18 ± 0.010.05 ± 0.020.07 ± 0.030.08 ± 0.040.07 ± 0.030.06 ± 0.040.05 ± 0.040.06 ± 0.030.06 ± 0.030.12 ± 0.03Schillingdata0.19 ± 0.000.10 ± 0.010.23 ± 0.000.15 ± 0.010.13 ± 0.000.11 ± 0.010.08 ± 0.010.07 ± 0.020.09 ± 0.030.13 ± 0.00Seeds0.19 ± 0.030.06 ± 0.030.07 ± 0.040.04 ± 0.010.04 ± 0.030.04 ± 0.030.04 ± 0.030.04 ± 0.010.04 ± 0.010.12 ± 0.07Segment0.13 ± 0.000.06 ± 0.000.01 ± 0.000.01 ± 0.000.10 ± 0.010.09 ± 0.010.09 ± 0.010.02 ± 0.000.01 ± 0.000.10 ± 0.01Seismic-bumps0.12 ± 0.000.14 ± 0.020.12 ± 0.000.11 ± 0.010.07 ± 0.000.07 ± 0.000.07 ± 0.000.10 ± 0.010.09 ± 0.010.07 ± 0.01Semeion0.17 ± 0.000.03 ± 0.010.05 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.16 ± 0.00Setapprocesst10.40 ± 0.030.42 ± 0.190.38 ± 0.180.35 ± 0.100.36 ± 0.080.31 ± 0.110.33 ± 0.090.36 ± 0.190.37 ± 0.190.28 ± 0.23Setapprocesst100.44 ± 0.020.56 ± 0.150.42 ± 0.140.40 ± 0.160.34 ± 0.060.34 ± 0.060.34 ± 0.060.47 ± 0.240.47 ± 0.210.38 ± 0.08Setapprocesst110.44 ± 0.020.45 ± 0.250.36 ± 0.170.42 ± 0.160.34 ± 0.060.34 ± 0.060.34 ± 0.060.39 ± 0.150.35 ± 0.160.43 ± 0.11Setapprocesst20.44 ± 0.020.33 ± 0.150.27 ± 0.180.38 ± 0.210.34 ± 0.060.34 ± 0.060.34 ± 0.060.38 ± 0.170.35 ± 0.170.19 ± 0.17Setapprocesst30.44 ± 0.010.35 ± 0.120.40 ± 0.150.34 ± 0.130.34 ± 0.060.34 ± 0.060.34 ± 0.060.35 ± 0.120.35 ± 0.080.47 ± 0.16Setapprocesst40.41 ± 0.030.51 ± 0.240.45 ± 0.140.40 ± 0.180.29 ± 0.070.29 ± 0.070.29 ± 0.070.45 ± 0.190.43 ± 0.160.27 ± 0.12Setapprocesst50.43 ± 0.030.53 ± 0.170.47 ± 0.170.41 ± 0.170.35 ± 0.080.36 ± 0.090.36 ± 0.090.41 ± 0.130.39 ± 0.130.34 ± 0.25Setapprocesst60.44 ± 0.010.33 ± 0.160.35 ± 0.120.36 ± 0.140.34 ± 0.060.34 ± 0.060.34 ± 0.060.37 ± 0.150.37 ± 0.140.40 ± 0.20Setapprocesst70.44 ± 0.030.26 ± 0.140.39 ± 0.200.36 ± 0.150.34 ± 0.060.34 ± 0.060.34 ± 0.060.28 ± 0.180.29 ± 0.180.47 ± 0.15Setapprocesst80.43 ± 0.020.32 ± 0.140.30 ± 0.150.37 ± 0.150.34 ± 0.060.34 ± 0.060.34 ± 0.060.34 ± 0.160.34 ± 0.170.51 ± 0.11Setapprocesst90.44 ± 0.020.35 ± 0.150.32 ± 0.160.42 ± 0.100.34 ± 0.060.34 ± 0.060.34 ± 0.060.29 ± 0.180.33 ± 0.160.49 ± 0.17Shillbiddingdataset0.12 ± 0.000.04 ± 0.000.01 ± 0.000.01 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.03 ± 0.01Shuttle-landing-control0.16 ± 0.170.23 ± 0.290.12 ± 0.130.14 ± 0.190.05 ± 0.160.05 ± 0.160.05 ± 0.160.16 ± 0.270.16 ± 0.290.15 ± 0.34Somervillehappinesssurvey20150.47 ± 0.030.44 ± 0.060.41 ± 0.100.42 ± 0.100.40 ± 0.110.41 ± 0.100.41 ± 0.120.42 ± 0.110.43 ± 0.110.34 ± 0.16Sonar0.45 ± 0.010.31 ± 0.090.29 ± 0.070.14 ± 0.070.34 ± 0.050.30 ± 0.090.26 ± 0.100.19 ± 0.100.19 ± 0.090.37 ± 0.11Soybean0.09 ± 0.000.01 ± 0.010.02 ± 0.010.02 ± 0.010.01 ± 0.010.01 ± 0.000.01 ± 0.010.02 ± 0.010.02 ± 0.010.08 ± 0.00Spambase0.40 ± 0.000.21 ± 0.020.09 ± 0.010.09 ± 0.010.07 ± 0.010.06 ± 0.010.07 ± 0.010.11 ± 0.010.13 ± 0.060.22 ± 0.02Speaker-accent0.21 ± 0.010.15 ± 0.030.11 ± 0.030.07 ± 0.030.14 ± 0.010.13 ± 0.010.13 ± 0.010.08 ± 0.020.09 ± 0.020.17 ± 0.02Spect0.42 ± 0.030.31 ± 0.140.38 ± 0.090.49 ± 0.120.35 ± 0.110.36 ± 0.120.37 ± 0.090.46 ± 0.170.47 ± 0.160.28 ± 0.10Spectf0.47 ± 0.020.25 ± 0.120.28 ± 0.110.33 ± 0.180.32 ± 0.060.32 ± 0.060.24 ± 0.140.30 ± 0.140.29 ± 0.130.29 ± 0.08Statlog-australian-credit0.43 ± 0.000.46 ± 0.020.41 ± 0.050.44 ± 0.030.32 ± 0.020.36 ± 0.060.36 ± 0.060.41 ± 0.030.41 ± 0.030.35 ± 0.06Statlog-german-credit0.41 ± 0.000.29 ± 0.030.31 ± 0.040.32 ± 0.040.24 ± 0.040.23 ± 0.040.23 ± 0.040.30 ± 0.040.28 ± 0.030.29 ± 0.02Statlog-heart0.40 ± 0.020.19 ± 0.060.28 ± 0.080.25 ± 0.080.17 ± 0.050.20 ± 0.080.20 ± 0.100.22 ± 0.060.21 ± 0.080.29 ± 0.06Statlog-image0.12 ± 0.000.06 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.01 ± 0.000.01 ± 0.000.02 ± 0.000.02 ± 0.000.10 ± 0.01Statlog-landsat0.14 ± 0.000.07 ± 0.010.05 ± 0.010.03 ± 0.010.04 ± 0.010.03 ± 0.000.03 ± 0.010.04 ± 0.000.04 ± 0.010.13 ± 0.01Statlog-shuttle0.07 ± 0.000.03 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.02 ± 0.00Statlog-vehicle0.29 ± 0.010.28 ± 0.010.14 ± 0.020.15 ± 0.020.12 ± 0.020.10 ± 0.010.10 ± 0.010.10 ± 0.010.10 ± 0.020.24 ± 0.03Steel-plates0.17 ± 0.000.12 ± 0.010.07 ± 0.010.08 ± 0.010.07 ± 0.010.07 ± 0.010.07 ± 0.010.08 ± 0.010.08 ± 0.010.15 ± 0.01Synthetic-control0.19 ± 0.000.02 ± 0.010.03 ± 0.010.01 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.000.01 ± 0.000.01 ± 0.000.14 ± 0.01Teaching0.40 ± 0.020.38 ± 0.030.29 ± 0.070.25 ± 0.090.29 ± 0.100.26 ± 0.080.25 ± 0.080.36 ± 0.030.36 ± 0.030.36 ± 0.07Thoraricsurgery0.25 ± 0.000.28 ± 0.080.25 ± 0.000.23 ± 0.060.15 ± 0.000.16 ± 0.010.16 ± 0.010.24 ± 0.040.22 ± 0.040.17 ± 0.02Thyroid0.18 ± 0.030.02 ± 0.020.06 ± 0.040.03 ± 0.020.16 ± 0.030.15 ± 0.030.15 ± 0.030.03 ± 0.020.03 ± 0.020.06 ± 0.06Thyroid-train0.09 ± 0.000.04 ± 0.010.00 ± 0.000.05 ± 0.010.03 ± 0.000.03 ± 0.000.02 ± 0.000.03 ± 0.010.03 ± 0.010.02 ± 0.01Tic-tac-toe0.44 ± 0.000.37 ± 0.010.07 ± 0.020.00 ± 0.000.01 ± 0.010.01 ± 0.010.00 ± 0.010.03 ± 0.010.02 ± 0.010.30 ± 0.02Titanic0.37 ± 0.010.31 ± 0.020.31 ± 0.010.31 ± 0.010.22 ± 0.020.21 ± 0.020.21 ± 0.020.32 ± 0.020.32 ± 0.030.22 ± 0.02Trains0.46 ± 0.080.40 ± 0.520.28 ± 0.460.42 ± 0.420.40 ± 0.520.30 ± 0.480.30 ± 0.480.28 ± 0.370.27 ± 0.371.00 ± 0.00Transfusion0.35 ± 0.010.29 ± 0.020.30 ± 0.010.32 ± 0.040.25 ± 0.030.27 ± 0.030.28 ± 0.040.30 ± 0.020.30 ± 0.020.24 ± 0.02Trial0.32 ± 0.020.10 ± 0.030.00 ± 0.000.00 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.01 ± 0.010.00 ± 0.00Turkiye-student-evaluation0.34 ± 0.000.10 ± 0.010.00 ± 0.000.06 ± 0.010.03 ± 0.000.02 ± 0.000.02 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.00Unbalanced0.03 ± 0.000.11 ± 0.040.03 ± 0.000.02 ± 0.020.01 ± 0.000.02 ± 0.010.02 ± 0.010.03 ± 0.010.02 ± 0.010.01 ± 0.00Urbanlandcover0.16 ± 0.010.05 ± 0.020.05 ± 0.010.06 ± 0.020.18 ± 0.000.18 ± 0.000.18 ± 0.000.05 ± 0.020.05 ± 0.020.11 ± 0.03Userknowledgemodeling0.27 ± 0.020.11 ± 0.020.04 ± 0.020.10 ± 0.050.11 ± 0.030.07 ± 0.020.07 ± 0.020.05 ± 0.020.04 ± 0.020.07 ± 0.04Vehicle0.29 ± 0.010.28 ± 0.010.14 ± 0.020.15 ± 0.020.35 ± 0.010.34 ± 0.020.34 ± 0.020.10 ± 0.010.10 ± 0.020.24 ± 0.03Vertebral-column-2classes0.34 ± 0.040.22 ± 0.070.21 ± 0.060.18 ± 0.050.15 ± 0.050.15 ± 0.060.15 ± 0.060.18 ± 0.040.18 ± 0.040.26 ± 0.08Vertebral-column-3classes0.28 ± 0.020.14 ± 0.020.13 ± 0.040.15 ± 0.030.11 ± 0.040.10 ± 0.050.11 ± 0.040.13 ± 0.020.13 ± 0.020.17 ± 0.05Veteran0.39 ± 0.010.31 ± 0.050.34 ± 0.040.40 ± 0.090.29 ± 0.010.29 ± 0.010.29 ± 0.010.39 ± 0.120.34 ± 0.120.26 ± 0.08Vowel0.13 ± 0.000.09 ± 0.010.04 ± 0.010.00 ± 0.000.03 ± 0.000.02 ± 0.000.01 ± 0.000.02 ± 0.010.02 ± 0.000.12 ± 0.01Wall-following0.16 ± 0.000.24 ± 0.000.00 ± 0.000.06 ± 0.010.05 ± 0.010.05 ± 0.010.04 ± 0.010.07 ± 0.010.07 ± 0.010.12 ± 0.01Waveform-noise0.37 ± 0.000.14 ± 0.010.17 ± 0.010.18 ± 0.010.09 ± 0.010.10 ± 0.010.10 ± 0.010.11 ± 0.010.11 ± 0.010.31 ± 0.02Waveform0.34 ± 0.000.13 ± 0.010.17 ± 0.010.15 ± 0.010.09 ± 0.010.10 ± 0.010.10 ± 0.010.11 ± 0.010.11 ± 0.010.32 ± 0.01Wbc0.10 ± 0.010.03 ± 0.010.09 ± 0.020.05 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.020.04 ± 0.010.04 ± 0.020.09 ± 0.03Wdbc0.25 ± 0.020.07 ± 0.040.07 ± 0.040.04 ± 0.020.37 ± 0.010.37 ± 0.010.37 ± 0.010.03 ± 0.020.04 ± 0.020.10 ± 0.03Weathernominal0.45 ± 0.150.42 ± 0.160.36 ± 0.340.48 ± 0.240.30 ± 0.350.40 ± 0.390.25 ± 0.350.25 ± 0.350.25 ± 0.350.55 ± 0.44Weathernumeric0.55 ± 0.160.45 ± 0.180.24 ± 0.330.24 ± 0.300.30 ± 0.350.50 ± 0.470.50 ± 0.470.28 ± 0.390.29 ± 0.400.55 ± 0.44Website-phishingdata0.29 ± 0.000.14 ± 0.010.08 ± 0.010.09 ± 0.010.10 ± 0.010.09 ± 0.010.08 ± 0.010.09 ± 0.010.08 ± 0.010.12 ± 0.01Wholesalecustomersdata0.23 ± 0.020.12 ± 0.030.13 ± 0.030.12 ± 0.050.32 ± 0.010.32 ± 0.010.32 ± 0.010.11 ± 0.030.11 ± 0.030.10 ± 0.04Wifi-localization0.20 ± 0.000.01 ± 0.000.02 ± 0.000.01 ± 0.000.10 ± 0.010.10 ± 0.010.10 ± 0.010.01 ± 0.000.01 ± 0.000.11 ± 0.02Wilt0.10 ± 0.000.17 ± 0.010.02 ± 0.000.05 ± 0.010.05 ± 0.000.05 ± 0.000.05 ± 0.000.03 ± 0.000.02 ± 0.000.06 ± 0.00Wine-quality-red0.18 ± 0.000.18 ± 0.010.14 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.17 ± 0.010.16 ± 0.010.15 ± 0.01Wine-quality-white0.17 ± 0.000.17 ± 0.000.13 ± 0.010.10 ± 0.010.12 ± 0.010.12 ± 0.010.12 ± 0.010.16 ± 0.000.16 ± 0.000.15 ± 0.01Wine0.23 ± 0.010.02 ± 0.030.05 ± 0.030.04 ± 0.030.01 ± 0.020.01 ± 0.020.01 ± 0.020.02 ± 0.020.02 ± 0.020.15 ± 0.06Yamilnaduelectricty0.09 ± 0.000.09 ± 0.000.09 ± 0.000.08 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.000.09 ± 0.00Yeast0.14 ± 0.000.10 ± 0.000.10 ± 0.010.10 ± 0.000.08 ± 0.010.08 ± 0.010.08 ± 0.010.10 ± 0.000.10 ± 0.000.12 ± 0.01Youtobe-kabita-preprocessing0.23 ± 0.000.21 ± 0.000.21 ± 0.000.20 ± 0.000.18 ± 0.010.18 ± 0.010.18 ± 0.010.22 ± 0.000.21 ± 0.000.19 ± 0.01Youtobe-nisha-preprocessing0.22 ± 0.000.21 ± 0.000.20 ± 0.000.20 ± 0.000.17 ± 0.010.17 ± 0.010.17 ± 0.010.21 ± 0.000.21 ± 0.000.20 ± 0.00Z-alizadehsani0.39 ± 0.010.20 ± 0.060.24 ± 0.080.22 ± 0.070.29 ± 0.010.29 ± 0.010.29 ± 0.010.17 ± 0.070.18 ± 0.060.29 ± 0.05Zoo0.14 ± 0.010.01 ± 0.020.02 ± 0.020.02 ± 0.010.02 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.020.02 ± 0.020.08 ± 0.03Average mae (rank)0.2672 (10)0.1947 (9)0.1550 (3)0.1576 (4)0.1695 (7)0.1662 (6)0.1643 (5)0.1494 (2)0.1476 (1)0.1913 (8)Average mae std (rank)0.0120 (1)0.0374 (6)0.0372 (5)0.0431 (9)0.0318 (2)0.0345 (3)0.0350 (4)0.0400 (7)0.0413 (8)0.0438 (10)Table 10
The detailed experimental results on relative absolute error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone75.92 ± 1.4264.51 ± 3.1764.97 ± 1.9163.17 ± 3.7550.10 ± 3.7049.56 ± 3.5449.63 ± 3.3865.50 ± 2.1564.96 ± 2.4558.61 ± 2.68Absenteeism-at-work62.76 ± 1.2633.47 ± 5.170.73 ± 1.2533.50 ± 5.8531.11 ± 6.0931.11 ± 6.0931.11 ± 6.097.25 ± 2.917.28 ± 3.189.63 ± 3.49Acute-inflammation46.10 ± 4.8119.62 ± 5.030.00 ± 0.001.64 ± 0.100.00 ± 0.000.00 ± 0.000.00 ± 0.001.10 ± 0.100.79 ± 0.0841.67 ± 16.20Acute-nephritis43.11 ± 2.4010.82 ± 11.200.00 ± 0.001.66 ± 0.100.00 ± 0.000.00 ± 0.000.00 ± 0.001.12 ± 0.140.90 ± 0.1817.13 ± 16.15Adult94.23 ± 1.1855.36 ± 6.7860.24 ± 7.5459.42 ± 9.8345.84 ± 11.2945.50 ± 11.3645.67 ± 11.7658.87 ± 7.6658.37 ± 7.4553.92 ± 3.56Aggregation17.56 ± 6.471.06 ± 0.540.48 ± 0.781.23 ± 0.520.16 ± 0.520.33 ± 0.690.33 ± 0.697.37 ± 2.226.05 ± 2.4951.54 ± 3.72Algerianforest61.49 ± 4.7212.11 ± 10.359.21 ± 8.9324.91 ± 13.5383.64 ± 3.3677.76 ± 8.5277.76 ± 8.528.33 ± 6.217.25 ± 7.425.78 ± 9.62Annealing91.67 ± 0.6076.69 ± 9.3410.96 ± 5.4427.17 ± 5.5127.39 ± 7.8521.16 ± 6.3419.61 ± 5.2925.69 ± 8.9824.05 ± 6.9640.47 ± 0.10Arrhythmia96.40 ± 0.4356.91 ± 10.5756.76 ± 10.4870.08 ± 4.7556.02 ± 3.6550.52 ± 5.0651.82 ± 6.1150.80 ± 7.6566.27 ± 20.9259.26 ± 3.73Au1-100099.01 ± 0.3692.85 ± 2.6577.84 ± 7.9284.06 ± 11.3467.43 ± 0.5967.43 ± 0.5966.65 ± 2.1581.90 ± 9.7675.90 ± 9.2867.43 ± 0.59Au4-250095.13 ± 0.7383.45 ± 2.6152.13 ± 9.3564.38 ± 7.7267.92 ± 4.8267.92 ± 4.8267.92 ± 4.8262.96 ± 6.8062.81 ± 7.9281.84 ± 7.39Au6-100099.65 ± 0.3799.20 ± 0.7494.38 ± 4.26100.82 ± 4.3688.47 ± 0.0188.47 ± 0.0188.47 ± 0.0199.67 ± 3.16100.64 ± 4.4688.13 ± 2.58Au6-250-drift-au6-cd1-50099.81 ± 0.5498.95 ± 1.6595.38 ± 4.1497.98 ± 4.8891.22 ± 0.7691.22 ± 0.7691.22 ± 0.7699.52 ± 2.1198.83 ± 3.9988.26 ± 4.02Au6-cd1-40099.51 ± 0.5895.72 ± 3.6977.36 ± 8.0099.20 ± 9.4387.01 ± 0.8287.01 ± 0.8287.01 ± 0.8297.11 ± 6.0897.61 ± 5.1682.20 ± 7.92Au7-300-drift-au7-cpd1-80098.16 ± 0.6192.66 ± 1.3881.78 ± 4.6686.32 ± 5.3990.85 ± 2.0891.77 ± 2.4591.77 ± 2.4588.86 ± 2.6687.74 ± 3.1795.23 ± 3.94Au7-70097.73 ± 1.3291.56 ± 2.3575.84 ± 5.0496.84 ± 8.3194.08 ± 4.3295.37 ± 3.5295.37 ± 3.5290.41 ± 3.2388.33 ± 3.9882.94 ± 5.72Au7-cpd1-50098.68 ± 0.9294.29 ± 2.5170.29 ± 5.3183.29 ± 7.5282.49 ± 1.3381.96 ± 2.1381.96 ± 2.1384.23 ± 5.6082.95 ± 6.8679.82 ± 6.44Audiology-std96.20 ± 0.3531.94 ± 11.6829.80 ± 8.8938.14 ± 12.5142.68 ± 9.2237.28 ± 11.7933.87 ± 9.6825.65 ± 7.0326.42 ± 5.9860.90 ± 2.39Audit-risk58.08 ± 2.6711.29 ± 4.100.27 ± 0.854.85 ± 2.543.24 ± 2.782.69 ± 2.832.42 ± 2.958.64 ± 4.018.72 ± 3.900.00 ± 0.00Autism-adolescent-data77.89 ± 5.479.38 ± 6.010.00 ± 0.0021.64 ± 13.148.02 ± 10.379.94 ± 10.508.02 ± 10.3721.09 ± 18.1620.85 ± 18.510.00 ± 0.00Autism-adult-data74.39 ± 2.648.31 ± 4.770.00 ± 0.0013.34 ± 9.741.81 ± 2.551.09 ± 2.451.45 ± 2.530.56 ± 0.310.44 ± 0.250.00 ± 0.00Autism-child-data79.33 ± 2.438.93 ± 3.350.00 ± 0.0023.54 ± 7.650.69 ± 2.180.00 ± 0.000.00 ± 0.001.82 ± 1.731.95 ± 1.880.00 ± 0.00Autos75.47 ± 3.5056.55 ± 14.3226.24 ± 8.5233.42 ± 12.5584.46 ± 5.5283.20 ± 6.6683.20 ± 6.6631.92 ± 7.3631.38 ± 6.3348.67 ± 12.86Avila51.66 ± 0.5597.65 ± 2.378.75 ± 1.6031.65 ± 3.4841.49 ± 2.7438.68 ± 2.4036.83 ± 2.9762.83 ± 2.8462.56 ± 3.5336.74 ± 3.26Balance-scale73.87 ± 2.7356.05 ± 2.2749.81 ± 6.4833.52 ± 7.4316.85 ± 2.6712.64 ± 1.5211.24 ± 2.3421.20 ± 2.8821.89 ± 3.6076.65 ± 7.70Balloons81.25 ± 23.98100.00 ± 0.0091.06 ± 31.0068.48 ± 22.8857.00 ± 63.6037.00 ± 62.5537.00 ± 62.5556.90 ± 46.9054.78 ± 48.74112.50 ± 77.28Bank95.82 ± 0.5487.54 ± 4.7070.70 ± 4.1668.26 ± 6.5451.27 ± 3.0350.51 ± 2.7849.86 ± 5.2063.84 ± 5.6365.32 ± 9.2056.04 ± 3.01Blood96.32 ± 1.5679.63 ± 5.5083.64 ± 3.4188.71 ± 11.0959.27 ± 5.6557.81 ± 4.2459.28 ± 3.9081.45 ± 4.2181.29 ± 5.4665.18 ± 4.59Breast-cancer-wisc-diag52.63 ± 4.6514.91 ± 8.8715.46 ± 8.539.03 ± 3.995.25 ± 4.744.51 ± 4.263.76 ± 2.508.15 ± 3.788.12 ± 4.0023.28 ± 8.76Breast-cancer-wisc-prog97.66 ± 1.4493.25 ± 26.6579.33 ± 16.0975.56 ± 24.5756.86 ± 16.4060.03 ± 25.2361.33 ± 27.1975.38 ± 25.6573.70 ± 30.2682.38 ± 22.18Breast-cancer-wisc30.02 ± 4.699.08 ± 3.7416.30 ± 7.3110.02 ± 6.586.33 ± 4.226.65 ± 4.347.28 ± 4.2212.22 ± 7.5710.45 ± 4.7016.14 ± 10.05Breast-cancer93.44 ± 2.8775.65 ± 9.9987.28 ± 6.2572.06 ± 18.0062.49 ± 12.2264.17 ± 12.7566.71 ± 12.2577.44 ± 13.6778.80 ± 8.9670.83 ± 11.74Breast-tissue67.58 ± 7.1940.04 ± 13.6841.08 ± 16.6938.07 ± 15.8050.18 ± 17.4938.79 ± 19.9336.37 ± 20.1151.89 ± 8.2851.91 ± 11.1754.78 ± 11.74Bupa92.74 ± 3.0194.88 ± 6.4781.13 ± 16.9078.64 ± 10.0584.41 ± 4.5483.81 ± 4.8983.81 ± 4.8976.65 ± 7.6373.89 ± 7.6193.87 ± 16.05Caesarian88.07 ± 11.6884.08 ± 21.1793.33 ± 11.9896.10 ± 29.6491.75 ± 12.2376.84 ± 25.0384.51 ± 35.1391.04 ± 37.8691.03 ± 36.15105.03 ± 38.01Car94.52 ± 0.7754.16 ± 2.406.32 ± 1.728.13 ± 2.305.69 ± 2.474.17 ± 2.523.66 ± 2.1018.40 ± 2.7817.59 ± 3.2765.45 ± 0.26Cardiotocography-10classes81.53 ± 0.5936.58 ± 2.7523.93 ± 2.5725.86 ± 3.5122.35 ± 2.4920.95 ± 3.0520.11 ± 2.4624.50 ± 3.1125.72 ± 2.6962.40 ± 2.72Cardiotocography-3classes87.86 ± 1.2550.02 ± 8.4323.36 ± 6.8721.95 ± 4.7324.26 ± 5.2221.57 ± 5.6421.19 ± 4.7323.56 ± 2.7422.59 ± 5.5650.44 ± 8.62Cervical-cancer82.50 ± 7.3623.68 ± 18.1138.98 ± 28.4030.08 ± 26.3869.87 ± 5.3762.97 ± 15.9162.97 ± 15.9118.32 ± 18.3018.11 ± 18.4852.95 ± 20.63Chemicalcomposionofceramic48.22 ± 4.830.00 ± 0.002.50 ± 7.912.46 ± 0.01108.77 ± 4.62108.77 ± 4.62108.77 ± 4.621.03 ± 0.450.76 ± 0.360.00 ± 0.00Chess-krvk96.17 ± 0.2390.50 ± 0.6459.18 ± 2.8756.30 ± 3.5960.36 ± 2.9057.89 ± 2.5056.18 ± 3.2774.77 ± 1.1675.03 ± 1.7983.17 ± 2.35Chess-krvkp94.95 ± 0.2542.83 ± 3.052.14 ± 0.9320.43 ± 2.782.63 ± 1.811.63 ± 1.261.63 ± 1.071.99 ± 1.111.82 ± 1.1167.22 ± 2.90Congressional-voting98.94 ± 0.6293.83 ± 8.2996.58 ± 5.2094.06 ± 9.8380.94 ± 8.3981.91 ± 11.0082.87 ± 12.2491.50 ± 5.9591.17 ± 6.9578.06 ± 5.53Conn-bench-sonar-mines-rocks90.85 ± 2.5762.64 ± 17.9057.49 ± 14.4727.74 ± 13.9131.80 ± 14.1526.05 ± 15.6323.14 ± 15.7539.52 ± 18.3436.71 ± 17.2073.43 ± 21.12Conn-bench-vowel-deterding69.18 ± 0.7447.05 ± 4.2424.61 ± 6.913.07 ± 1.426.46 ± 2.082.71 ± 1.971.66 ± 1.6422.53 ± 3.0623.12 ± 3.6671.04 ± 5.43Connect-499.54 ± 0.11100.96 ± 2.4064.33 ± 4.3575.45 ± 7.1467.46 ± 0.6663.17 ± 2.5160.13 ± 4.5970.08 ± 5.0467.21 ± 4.0067.23 ± 0.35Connectionist90.55 ± 2.5864.31 ± 21.2253.66 ± 14.5826.82 ± 11.6377.57 ± 17.0460.81 ± 23.0954.92 ± 24.4634.74 ± 15.7633.84 ± 15.8074.66 ± 13.93Contrac96.44 ± 0.5985.85 ± 3.7579.77 ± 4.2288.33 ± 5.6870.39 ± 3.4270.59 ± 5.4571.54 ± 5.9780.87 ± 3.0680.04 ± 2.4880.47 ± 3.12Covid-1982.03 ± 14.9374.56 ± 43.2559.63 ± 65.0979.44 ± 49.0662.70 ± 59.1273.88 ± 73.3459.34 ± 71.9758.59 ± 61.8956.92 ± 63.1330.51 ± 52.42Credit-approval83.51 ± 2.4745.92 ± 6.3638.63 ± 6.3636.30 ± 11.3829.63 ± 11.0030.21 ± 9.7731.10 ± 9.2931.95 ± 5.2334.02 ± 7.1629.34 ± 9.07Crowdsource73.96 ± 0.9339.44 ± 4.3926.14 ± 3.0310.15 ± 1.9750.77 ± 2.1750.77 ± 2.1750.77 ± 2.1717.46 ± 3.7717.68 ± 4.1344.23 ± 4.55Crx82.23 ± 2.3645.10 ± 5.6238.94 ± 6.4538.35 ± 9.7589.49 ± 7.2288.02 ± 8.6185.38 ± 10.3736.33 ± 8.2233.45 ± 4.9529.34 ± 9.07Cryother63.26 ± 9.9036.78 ± 21.9421.18 ± 14.9222.05 ± 16.1235.58 ± 25.9133.34 ± 26.0033.34 ± 26.0027.40 ± 16.8633.55 ± 18.8937.93 ± 21.23Cylinder-bands93.48 ± 1.6468.93 ± 11.8860.97 ± 12.4564.94 ± 15.1350.87 ± 8.0843.91 ± 9.2139.39 ± 6.5857.23 ± 10.1355.07 ± 9.6370.12 ± 9.03Dbworld-bodies97.83 ± 0.7049.39 ± 31.1842.52 ± 32.6282.56 ± 20.2291.52 ± 10.5191.52 ± 10.5172.85 ± 25.44//27.35 ± 26.75Dbworld-bodies-stemmed97.66 ± 0.7947.11 ± 26.1230.81 ± 26.4673.31 ± 28.5691.52 ± 10.5182.41 ± 18.0552.77 ± 26.76//51.81 ± 41.11Dbworld-subjects98.00 ± 0.7234.71 ± 20.8961.24 ± 20.2450.30 ± 24.7591.52 ± 10.5191.52 ± 10.5191.52 ± 10.5126.89 ± 24.7126.72 ± 27.3175.22 ± 24.75Dbworld-subjects-stemmed98.01 ± 0.9134.39 ± 22.8654.43 ± 27.5438.63 ± 18.3891.52 ± 10.5191.52 ± 10.5191.52 ± 10.5128.03 ± 23.3228.47 ± 23.0978.63 ± 20.43Dermatology72.96 ± 0.823.58 ± 3.296.40 ± 3.797.57 ± 5.233.06 ± 2.962.71 ± 3.102.71 ± 3.494.35 ± 1.624.10 ± 1.7162.88 ± 2.99Diabetes86.31 ± 3.3962.50 ± 7.6369.45 ± 9.9565.77 ± 10.3676.77 ± 0.6376.77 ± 0.6376.77 ± 0.6364.99 ± 5.2963.83 ± 4.8062.74 ± 11.34Diabetic92.32 ± 1.4986.85 ± 4.4476.21 ± 7.0077.67 ± 9.5183.89 ± 9.5981.45 ± 12.0881.27 ± 11.4866.22 ± 6.3065.45 ± 5.3193.84 ± 11.41Divorce19.50 ± 5.154.71 ± 6.0811.74 ± 11.755.11 ± 5.534.71 ± 6.084.71 ± 6.084.71 ± 6.084.07 ± 5.114.05 ± 5.179.41 ± 10.80Dota2train99.84 ± 0.0894.52 ± 3.6294.55 ± 8.2989.94 ± 6.0694.88 ± 0.6992.95 ± 7.2395.10 ± 6.6099.93 ± 6.2096.66 ± 4.2189.49 ± 7.29Dow-jones-index89.78 ± 3.1299.48 ± 6.0057.59 ± 7.9490.96 ± 12.7096.02 ± 0.4396.02 ± 0.4396.02 ± 0.4391.60 ± 6.2789.30 ± 5.1087.20 ± 6.17Dry-bean-dataset26.66 ± 0.8012.10 ± 1.599.98 ± 1.336.74 ± 1.3646.84 ± 3.3146.84 ± 3.3146.84 ± 3.3111.68 ± 1.8711.20 ± 1.5438.29 ± 2.33Early-stage-diabetes-data-upload78.44 ± 2.7531.47 ± 7.3411.59 ± 5.574.37 ± 4.6112.18 ± 8.7710.97 ± 8.579.75 ± 7.948.41 ± 4.899.15 ± 6.2537.37 ± 9.14Echocardiogram89.70 ± 4.9850.08 ± 25.3354.44 ± 22.2159.82 ± 30.0641.36 ± 18.4143.30 ± 25.0243.30 ± 25.0254.38 ± 28.5651.03 ± 28.1332.62 ± 14.70Ecoli75.32 ± 1.7423.54 ± 5.7927.01 ± 9.0829.22 ± 8.5018.34 ± 6.2518.34 ± 5.9417.52 ± 4.8126.48 ± 3.8826.48 ± 4.7845.16 ± 9.41Eegeyesate91.56 ± 0.57107.84 ± 4.2234.17 ± 1.9633.05 ± 4.1190.71 ± 0.0690.63 ± 0.1390.63 ± 0.1398.31 ± 1.7697.85 ± 2.0175.59 ± 2.38Electrical68.31 ± 5.9913.75 ± 5.860.00 ± 0.0019.92 ± 16.1038.93 ± 16.7738.96 ± 14.6436.80 ± 13.944.36 ± 3.423.90 ± 3.090.73 ± 2.31Energy-y159.86 ± 1.2030.85 ± 3.385.99 ± 2.4639.08 ± 6.4018.15 ± 2.2316.28 ± 2.5716.28 ± 4.4920.68 ± 1.2121.30 ± 2.1824.83 ± 3.02Energy-y255.82 ± 1.1026.84 ± 3.0520.89 ± 3.0638.15 ± 5.3116.43 ± 3.2714.77 ± 2.4713.94 ± 2.3919.92 ± 2.7818.35 ± 3.6718.52 ± 4.92Extentionofz-alizadehsani93.03 ± 1.2119.68 ± 9.031.59 ± 2.2023.91 ± 12.4069.98 ± 2.6769.98 ± 2.6769.98 ± 2.675.18 ± 5.214.99 ± 5.2532.95 ± 11.46Fertility96.97 ± 4.6492.36 ± 13.73103.29 ± 16.8780.50 ± 51.6653.87 ± 10.4048.98 ± 20.0348.98 ± 30.5557.42 ± 28.5460.18 ± 42.9753.87 ± 10.40First-order97.19 ± 1.01393.57 ± 21.980.00 ± 0.003.81 ± 2.7955.11 ± 1.1626.10 ± 8.6011.74 ± 6.331.72 ± 1.861.44 ± 1.8353.29 ± 10.21Flags92.10 ± 1.7866.51 ± 7.3355.39 ± 10.3570.24 ± 10.5259.01 ± 11.6956.97 ± 12.7558.21 ± 16.3469.74 ± 13.5265.32 ± 12.6953.20 ± 8.94Foresttypes61.01 ± 2.626.73 ± 5.558.70 ± 7.508.20 ± 4.8693.73 ± 3.2291.00 ± 4.7691.00 ± 4.766.85 ± 4.626.50 ± 4.8423.86 ± 11.45Garments-worker-productivity94.96 ± 0.5797.33 ± 2.1773.76 ± 5.3197.73 ± 4.5585.27 ± 3.8684.50 ± 3.8983.51 ± 3.3086.04 ± 3.4987.19 ± 3.5589.36 ± 4.91Gender-name-dataset99.13 ± 0.8286.75 ± 9.13100.02 ± 0.1086.20 ± 3.0474.81 ± 2.8974.62 ± 4.2174.49 ± 3.78100.20 ± 2.2999.95 ± 2.8982.34 ± 2.17Gesture-a1-raw43.80 ± 1.1941.31 ± 3.6813.74 ± 2.795.76 ± 1.6588.48 ± 0.3788.48 ± 0.3788.48 ± 0.3716.33 ± 2.5815.27 ± 1.274.81 ± 1.98Gesture-a1-va376.61 ± 2.0060.43 ± 4.8152.58 ± 6.7438.36 ± 4.0388.64 ± 0.2188.64 ± 0.2188.64 ± 0.2151.35 ± 3.5350.57 ± 3.2056.61 ± 2.98Gesture-a2-raw44.81 ± 0.9945.32 ± 3.7616.78 ± 3.888.14 ± 4.3287.07 ± 0.3687.07 ± 0.3687.07 ± 0.3618.17 ± 2.4216.61 ± 2.977.56 ± 3.75Gesture-a2-va381.75 ± 2.1282.33 ± 10.2963.73 ± 3.7346.37 ± 5.8787.27 ± 0.3487.27 ± 0.3487.27 ± 0.3464.21 ± 4.7163.64 ± 5.6665.65 ± 5.84Gesture-a3-raw34.69 ± 1.2853.80 ± 3.1910.48 ± 1.455.31 ± 1.3386.11 ± 0.2686.11 ± 0.2686.11 ± 0.2617.87 ± 1.7118.09 ± 2.406.32 ± 1.56Gesture-a3-va381.14 ± 0.8367.45 ± 3.7234.68 ± 4.4213.90 ± 2.3886.25 ± 0.2886.25 ± 0.2886.25 ± 0.2857.22 ± 3.3655.36 ± 3.3566.08 ± 3.20Gesture-b1-raw41.41 ± 2.2372.03 ± 4.6711.04 ± 3.447.69 ± 3.9183.92 ± 0.9083.66 ± 1.0583.66 ± 1.0521.63 ± 3.7617.96 ± 2.5611.74 ± 3.07Gesture-b1-va383.39 ± 2.3590.45 ± 8.6643.56 ± 5.2513.47 ± 3.6784.39 ± 0.4784.39 ± 0.4784.39 ± 0.4760.78 ± 3.9256.72 ± 5.5478.87 ± 5.95Gesture-b3-raw48.32 ± 2.6260.30 ± 3.5912.84 ± 4.516.27 ± 1.1587.61 ± 0.4387.61 ± 0.4387.61 ± 0.4318.99 ± 4.8418.83 ± 4.556.07 ± 3.08Gesture-b3-va390.20 ± 1.6375.18 ± 4.5157.61 ± 4.6429.08 ± 3.8287.73 ± 0.2587.73 ± 0.2587.73 ± 0.2560.88 ± 4.9062.11 ± 4.4778.51 ± 7.19Gesture-c1-raw47.07 ± 2.1547.52 ± 3.5314.73 ± 2.897.66 ± 2.1394.19 ± 0.5394.19 ± 0.5394.19 ± 0.5319.08 ± 3.3519.07 ± 4.297.88 ± 3.30Gesture-c1-va383.85 ± 2.0762.77 ± 3.7054.69 ± 4.3437.89 ± 4.3594.50 ± 0.4294.50 ± 0.4294.50 ± 0.4250.38 ± 4.0251.14 ± 3.0874.23 ± 5.90Gesture-c3-raw44.71 ± 1.7251.60 ± 5.3016.74 ± 4.759.32 ± 2.9793.71 ± 0.2893.71 ± 0.2893.71 ± 0.2821.17 ± 2.8823.33 ± 2.297.27 ± 1.72Gesture-c3-va386.27 ± 1.6569.93 ± 2.9159.86 ± 5.0948.48 ± 6.0493.77 ± 0.2593.77 ± 0.2593.77 ± 0.2562.21 ± 4.7062.77 ± 5.2673.69 ± 3.58Glass74.97 ± 3.6771.06 ± 9.0848.23 ± 10.0242.06 ± 11.8036.66 ± 8.9437.99 ± 11.6439.26 ± 11.5053.34 ± 9.9950.21 ± 5.6858.02 ± 12.16Go-track-tracks67.60 ± 8.7437.42 ± 9.9527.13 ± 13.9219.34 ± 16.9656.18 ± 25.5056.25 ± 23.1256.25 ± 23.1237.59 ± 11.7436.30 ± 10.9049.11 ± 27.29Haberman-survival94.64 ± 3.4385.03 ± 6.7193.09 ± 6.0286.06 ± 18.0170.33 ± 11.6773.69 ± 7.1973.69 ± 7.1990.85 ± 6.5690.66 ± 7.1769.48 ± 7.26Hayes-roth62.76 ± 4.2567.68 ± 4.6930.93 ± 7.9221.33 ± 8.6821.04 ± 10.9229.15 ± 10.0330.33 ± 10.0151.32 ± 15.3749.42 ± 15.8686.18 ± 9.07Hcc-data94.91 ± 2.0070.55 ± 13.4190.97 ± 11.9177.33 ± 16.7080.73 ± 3.9680.73 ± 3.9680.73 ± 3.9675.16 ± 23.8976.59 ± 20.0265.20 ± 23.22Hcvdat80.27 ± 2.1638.07 ± 12.4633.72 ± 8.2540.46 ± 5.9453.59 ± 1.5053.59 ± 1.5053.59 ± 1.5032.43 ± 10.4634.86 ± 10.2445.68 ± 6.81Heart-cleveland91.33 ± 2.4971.33 ± 10.4380.13 ± 9.0570.80 ± 9.7965.53 ± 12.6563.49 ± 13.5965.48 ± 14.2472.20 ± 8.5371.26 ± 7.7573.19 ± 10.59Heart-hungarian78.79 ± 4.9641.67 ± 13.9859.37 ± 11.7049.09 ± 17.4839.56 ± 16.4238.16 ± 13.7336.72 ± 13.9950.25 ± 16.2450.26 ± 14.0645.51 ± 20.32Heart-switzerland97.90 ± 3.2892.11 ± 8.8890.12 ± 15.1694.39 ± 18.5884.83 ± 8.6983.77 ± 7.9181.35 ± 9.0284.47 ± 15.4380.93 ± 13.6094.32 ± 17.44Heart-va97.78 ± 1.2591.24 ± 7.3791.84 ± 6.2885.06 ± 9.9385.18 ± 12.4688.43 ± 11.1691.04 ± 12.3193.90 ± 7.8594.42 ± 10.2294.29 ± 12.81Heart-failure-clinical-records-dataset93.16 ± 1.6357.66 ± 10.1154.22 ± 10.9279.25 ± 15.4173.52 ± 2.8673.52 ± 2.8673.52 ± 2.8662.49 ± 10.6754.54 ± 18.0432.91 ± 14.29Hepatitis92.08 ± 3.5554.48 ± 24.8373.05 ± 20.6454.33 ± 16.4750.89 ± 18.8047.08 ± 28.0847.08 ± 28.0861.88 ± 27.4065.42 ± 34.3378.56 ± 21.85Hill-valley100.16 ± 2.29102.38 ± 4.86100.08 ± 0.2596.41 ± 6.9495.70 ± 13.1595.71 ± 14.8893.73 ± 13.9991.27 ± 4.5390.95 ± 4.77105.01 ± 9.86Hiv1625data49.77 ± 3.5620.84 ± 5.2036.62 ± 6.4432.25 ± 3.5322.02 ± 5.6618.55 ± 6.0117.69 ± 6.5914.33 ± 5.0418.96 ± 6.4958.22 ± 4.93Hiv746data49.45 ± 3.0921.20 ± 5.6051.28 ± 6.1933.32 ± 6.0921.02 ± 7.4618.32 ± 5.6218.05 ± 6.5615.19 ± 4.4716.16 ± 6.2838.28 ± 8.74Horse-colic87.65 ± 2.4059.11 ± 12.1633.81 ± 9.2550.78 ± 16.0635.25 ± 10.3633.09 ± 11.3032.37 ± 12.2949.23 ± 10.9947.76 ± 14.4438.15 ± 11.72Htru37.39 ± 2.0433.26 ± 2.7020.41 ± 2.6917.19 ± 2.2953.21 ± 0.8451.20 ± 1.1451.77 ± 1.0918.13 ± 2.9617.91 ± 2.3414.44 ± 2.41Hypothyroid93.55 ± 0.9348.91 ± 5.214.16 ± 1.7558.72 ± 10.6150.73 ± 2.0149.82 ± 4.9150.00 ± 5.2152.30 ± 32.6556.91 ± 36.3325.81 ± 6.37Ibeacon-rssi-labeled97.01 ± 0.2383.22 ± 1.7075.07 ± 2.2764.94 ± 2.8466.64 ± 1.7264.22 ± 2.8463.01 ± 3.1784.54 ± 1.8982.78 ± 2.1596.65 ± 1.75Ilpd-indian-liver94.61 ± 3.03108.16 ± 11.8094.49 ± 8.2586.13 ± 14.6070.00 ± 1.3871.70 ± 4.2471.29 ± 6.1284.04 ± 6.7483.75 ± 7.2083.01 ± 7.53Image-segmentation59.74 ± 3.0226.23 ± 6.5915.54 ± 9.1818.04 ± 5.0815.00 ± 3.7515.00 ± 5.2715.56 ± 5.1115.24 ± 4.3314.83 ± 4.4347.78 ± 10.21Immunotherapy89.60 ± 4.2192.94 ± 19.9669.14 ± 23.7791.35 ± 50.1462.20 ± 8.3562.20 ± 8.3562.20 ± 8.3557.96 ± 25.6661.26 ± 26.9645.99 ± 27.09Impensdata77.82 ± 2.6947.91 ± 6.0799.79 ± 0.0058.34 ± 8.2959.21 ± 0.7459.21 ± 0.7459.21 ± 0.7438.09 ± 7.7443.16 ± 10.6158.80 ± 7.71In-vehicle-coupon-recommendation97.77 ± 0.1283.15 ± 1.2776.82 ± 1.3473.01 ± 2.6963.41 ± 2.6862.33 ± 2.6761.48 ± 2.6960.94 ± 1.9859.27 ± 2.6380.46 ± 1.80Indian94.02 ± 2.54107.75 ± 12.2680.09 ± 10.7187.84 ± 16.7367.51 ± 3.8169.19 ± 3.3269.19 ± 3.3284.54 ± 7.5583.72 ± 7.1983.42 ± 7.37Ionosphere51.47 ± 4.5337.70 ± 10.1120.34 ± 7.1630.12 ± 9.7912.34 ± 4.9511.09 ± 6.889.24 ± 6.5321.13 ± 3.9120.94 ± 5.7141.49 ± 16.32Iris37.75 ± 5.3610.00 ± 5.767.87 ± 7.858.98 ± 8.045.00 ± 5.276.00 ± 6.995.00 ± 5.277.36 ± 6.206.64 ± 5.3212.00 ± 9.19Jain21.84 ± 8.2117.35 ± 7.281.39 ± 4.380.77 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.0017.70 ± 6.2817.64 ± 6.4312.52 ± 8.66Jsbach-chorals-harmony80.38 ± 0.7722.07 ± 2.5326.32 ± 2.9613.94 ± 2.1818.19 ± 2.9515.02 ± 2.1813.64 ± 3.3212.76 ± 2.8214.35 ± 4.5519.65 ± 3.00Knowledge76.90 ± 4.1335.94 ± 11.0611.39 ± 7.6736.84 ± 11.4522.75 ± 13.7615.49 ± 12.3811.42 ± 11.0214.79 ± 6.9214.60 ± 7.0724.50 ± 13.45Lasvegastripadvisorreviews99.97 ± 0.2598.75 ± 2.6097.89 ± 4.5298.63 ± 4.57101.19 ± 3.93103.28 ± 5.62100.49 ± 5.6499.59 ± 5.3998.21 ± 4.86100.23 ± 3.81Leaf82.76 ± 1.3728.96 ± 7.3742.06 ± 7.51100.12 ± 3.0385.83 ± 4.2478.52 ± 5.3377.00 ± 5.7556.53 ± 5.5957.23 ± 5.4378.83 ± 5.06Led-display86.13 ± 0.4342.75 ± 2.2346.22 ± 2.6442.55 ± 2.5631.24 ± 4.5531.46 ± 4.2331.80 ± 4.0742.19 ± 2.2240.90 ± 2.4189.39 ± 1.40Lenses78.24 ± 19.64102.13 ± 12.9743.55 ± 64.2037.48 ± 34.7836.36 ± 49.6532.73 ± 47.2832.73 ± 47.2853.43 ± 45.6655.71 ± 48.2462.42 ± 68.75Letter89.09 ± 0.1243.64 ± 0.5914.28 ± 0.714.39 ± 0.315.33 ± 0.264.16 ± 0.313.63 ± 0.2221.06 ± 1.0420.96 ± 0.8086.06 ± 0.38Libras79.37 ± 2.4339.44 ± 9.8133.97 ± 10.2418.90 ± 5.1020.23 ± 4.3915.77 ± 4.6613.98 ± 4.2225.08 ± 4.4923.87 ± 4.3284.50 ± 6.46Low-res-spect74.95 ± 1.6429.64 ± 5.9127.01 ± 5.0826.51 ± 5.9415.95 ± 3.6915.66 ± 4.1514.24 ± 3.8514.10 ± 4.7814.10 ± 4.5239.53 ± 7.99Lung-cancer92.89 ± 5.0256.37 ± 24.3187.48 ± 36.4376.93 ± 50.2070.31 ± 32.9761.64 ± 32.4773.12 ± 38.0979.89 ± 33.0579.31 ± 34.2279.46 ± 27.00Lymphography84.63 ± 2.2638.02 ± 11.2352.62 ± 13.9448.40 ± 24.0226.31 ± 17.0727.84 ± 18.2431.39 ± 16.2837.80 ± 14.2137.20 ± 13.1945.35 ± 14.88Magic74.32 ± 1.8960.02 ± 4.3348.72 ± 3.9844.28 ± 5.0933.12 ± 4.6632.55 ± 3.7832.55 ± 3.0841.43 ± 4.1542.65 ± 4.2261.10 ± 9.66Mammographic72.02 ± 2.5648.19 ± 5.7449.33 ± 3.9951.58 ± 9.6134.73 ± 4.2935.56 ± 5.2235.15 ± 5.3150.99 ± 3.1152.18 ± 5.2236.41 ± 2.52Miniboone77.60 ± 0.71180.29 ± 3.5236.81 ± 6.0642.03 ± 4.0139.34 ± 6.2736.60 ± 5.3634.65 ± 4.7053.19 ± 7.0654.03 ± 8.2146.39 ± 4.51Molec-biol-promoter89.02 ± 4.0126.91 ± 16.7453.25 ± 20.1055.99 ± 23.6734.72 ± 26.9130.72 ± 23.8930.72 ± 23.8946.07 ± 17.9746.21 ± 18.1660.51 ± 22.18Molec-biol-splice96.55 ± 0.2316.95 ± 2.4313.87 ± 2.8760.03 ± 3.4020.95 ± 3.2120.69 ± 2.7821.56 ± 2.1226.61 ± 3.4527.08 ± 2.9359.63 ± 3.71Monks-178.06 ± 6.4473.39 ± 15.318.32 ± 13.8761.26 ± 18.4438.71 ± 24.2133.84 ± 21.8433.71 ± 19.1827.39 ± 27.9323.27 ± 32.8153.45 ± 19.63Monks-2100.45 ± 2.64101.79 ± 5.6257.45 ± 20.6082.85 ± 22.0989.06 ± 15.2782.81 ± 26.2175.20 ± 25.6161.57 ± 19.7957.60 ± 17.0087.86 ± 9.58Monks-374.97 ± 6.4353.25 ± 8.9421.44 ± 15.4250.96 ± 30.8919.62 ± 15.1221.41 ± 15.9121.41 ± 15.9133.73 ± 20.1225.08 ± 12.8644.24 ± 7.68Mushroom65.43 ± 0.9424.96 ± 2.210.00 ± 0.000.03 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.14 ± 0.010.09 ± 0.012.96 ± 0.96Musk-180.80 ± 2.6952.32 ± 14.5431.55 ± 13.3331.05 ± 9.2218.77 ± 8.7415.39 ± 5.8212.83 ± 6.0814.69 ± 4.8914.71 ± 4.7776.50 ± 18.17Musk-276.64 ± 1.2655.96 ± 5.8318.49 ± 4.9014.48 ± 3.6114.72 ± 4.519.70 ± 3.587.30 ± 2.855.64 ± 2.645.43 ± 3.2338.67 ± 4.73Newdiagnosis48.01 ± 3.5520.34 ± 6.580.00 ± 0.000.17 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.001.41 ± 0.181.02 ± 0.1046.26 ± 14.11Nursery88.77 ± 0.1531.12 ± 0.760.89 ± 0.3917.22 ± 0.862.58 ± 0.321.94 ± 0.301.56 ± 0.297.45 ± 1.969.42 ± 2.5542.53 ± 1.51Obesitydataset-raw-and-data-sinthetic78.81 ± 0.3944.47 ± 1.698.71 ± 2.0721.26 ± 2.8812.01 ± 2.729.68 ± 2.628.80 ± 2.598.47 ± 3.078.33 ± 1.7738.45 ± 4.18Obs-network-dataset-2-aug2745.55 ± 1.7941.61 ± 7.450.52 ± 1.641.51 ± 0.923.45 ± 0.973.45 ± 0.973.45 ± 0.977.92 ± 2.395.39 ± 1.8313.83 ± 3.08Occupancy-data18.67 ± 2.0310.09 ± 2.203.99 ± 1.681.95 ± 1.0841.13 ± 4.3538.62 ± 4.9938.62 ± 4.997.57 ± 1.997.12 ± 2.182.83 ± 1.67Occupancy-data222.14 ± 1.3711.92 ± 1.512.71 ± 0.551.64 ± 0.6849.55 ± 1.5043.21 ± 1.7643.21 ± 1.762.78 ± 0.622.62 ± 0.531.88 ± 0.47Occupancy-data314.30 ± 1.406.64 ± 1.542.00 ± 0.451.66 ± 0.6751.10 ± 1.5946.29 ± 1.8346.25 ± 1.814.03 ± 0.843.97 ± 0.881.87 ± 0.53Old84.69 ± 0.5315.52 ± 2.1313.01 ± 2.865.28 ± 1.689.97 ± 1.889.73 ± 2.589.15 ± 2.416.60 ± 2.046.64 ± 2.4822.91 ± 3.27Online-shoppers-intention92.63 ± 0.4286.25 ± 4.5753.53 ± 1.7470.60 ± 2.1959.24 ± 0.2159.42 ± 0.4959.64 ± 0.5951.02 ± 5.2852.07 ± 6.1244.98 ± 3.77Oocytes-merluccius-nucleus-4d89.08 ± 2.3890.22 ± 8.8765.21 ± 8.1362.94 ± 8.7751.35 ± 6.6044.93 ± 5.6442.93 ± 6.7745.77 ± 5.9647.91 ± 7.6675.00 ± 11.58Oocytes-merluccius-states-2f53.89 ± 4.0432.92 ± 8.0123.11 ± 7.1719.73 ± 6.1418.04 ± 5.6117.19 ± 4.5515.71 ± 4.2819.18 ± 3.5619.41 ± 4.6639.27 ± 10.17Oocytes-trisopterus-nucleus-2f89.86 ± 2.4794.11 ± 10.0661.67 ± 11.1752.72 ± 11.8638.64 ± 7.5133.25 ± 6.9734.15 ± 5.6637.00 ± 5.5639.20 ± 6.5183.14 ± 12.22Oocytes-trisopterus-states-5b61.02 ± 4.4448.06 ± 8.1026.01 ± 6.0618.56 ± 7.3716.39 ± 6.7815.30 ± 5.4614.42 ± 4.6314.42 ± 5.0314.44 ± 5.1639.78 ± 5.50Optdigits89.32 ± 0.159.66 ± 1.1211.34 ± 1.611.74 ± 0.7129.85 ± 2.1227.92 ± 2.3127.92 ± 2.312.91 ± 0.672.43 ± 0.5781.08 ± 1.37Optical88.77 ± 0.229.36 ± 1.3512.64 ± 1.312.00 ± 0.631.57 ± 0.621.39 ± 0.671.42 ± 0.652.91 ± 0.682.93 ± 0.7580.33 ± 1.44Ozone98.65 ± 0.75514.31 ± 55.6983.66 ± 10.3087.49 ± 11.3251.08 ± 1.8651.08 ± 1.8651.08 ± 1.8667.47 ± 15.3961.98 ± 13.0155.98 ± 7.57Page-blocks67.45 ± 1.9957.06 ± 7.9021.18 ± 2.3221.68 ± 3.2220.05 ± 3.9318.71 ± 3.9518.52 ± 4.0026.28 ± 3.5625.37 ± 3.4432.81 ± 3.16Parkingbirmingham21.04 ± 1.6631.59 ± 1.110.00 ± 0.003.44 ± 0.6942.84 ± 3.9240.14 ± 4.0540.14 ± 4.0527.47 ± 1.4523.68 ± 1.490.00 ± 0.00Parkinsons74.34 ± 7.3682.45 ± 30.0053.50 ± 10.0711.04 ± 6.5732.95 ± 16.9227.47 ± 16.7923.27 ± 15.5031.68 ± 15.1029.52 ± 19.5537.10 ± 20.47Pasture81.94 ± 8.6540.75 ± 34.2535.21 ± 28.5647.07 ± 37.59107.02 ± 6.04107.02 ± 6.04107.02 ± 6.0441.92 ± 35.9943.88 ± 36.4954.68 ± 39.33Pbc83.92 ± 3.2150.57 ± 13.5260.78 ± 11.9485.44 ± 18.4881.30 ± 1.3881.30 ± 1.3881.30 ± 1.3861.73 ± 10.6156.72 ± 6.2958.61 ± 19.36Pen68.81 ± 0.3616.90 ± 1.264.44 ± 0.530.81 ± 0.1996.14 ± 0.9595.06 ± 1.0695.06 ± 1.066.74 ± 0.776.83 ± 0.4367.85 ± 1.71Pendigits68.16 ± 0.4014.41 ± 1.414.97 ± 0.790.78 ± 0.260.43 ± 0.210.37 ± 0.170.39 ± 0.196.10 ± 0.696.03 ± 0.6066.97 ± 2.20Pharynx100.44 ± 3.94107.48 ± 11.5699.56 ± 0.04100.09 ± 29.3767.52 ± 22.1673.58 ± 28.0581.86 ± 28.0780.91 ± 10.3382.63 ± 43.90201.57 ± 18.02Phishingwebsites87.61 ± 0.2118.12 ± 1.1511.49 ± 0.836.55 ± 1.1111.14 ± 1.0510.14 ± 1.029.60 ± 0.936.99 ± 0.836.88 ± 0.6322.51 ± 1.14Pima86.45 ± 3.1462.48 ± 7.6569.45 ± 9.9565.77 ± 10.3653.56 ± 8.9454.71 ± 8.8155.00 ± 7.5265.00 ± 5.2963.83 ± 4.8062.74 ± 11.34Pittsburg-bridges-rel-l85.63 ± 4.1466.08 ± 15.1876.14 ± 17.0149.78 ± 27.1054.48 ± 20.2852.97 ± 20.3645.14 ± 18.3367.73 ± 16.6664.05 ± 17.5548.20 ± 17.58Pittsburg-bridges-span86.15 ± 3.4764.47 ± 11.4172.83 ± 17.0072.74 ± 26.2256.74 ± 24.0658.65 ± 26.7558.65 ± 26.7558.68 ± 11.3054.18 ± 17.9473.56 ± 22.28Pittsburg-bridges-t-or-d92.43 ± 8.6180.50 ± 21.1286.75 ± 31.0869.10 ± 43.9553.74 ± 26.2047.70 ± 33.0143.14 ± 29.2658.96 ± 44.7065.23 ± 51.6560.71 ± 42.49Pittsburg-bridges-type89.03 ± 3.9767.18 ± 9.4365.56 ± 7.2858.61 ± 14.7360.67 ± 16.0650.95 ± 23.2049.46 ± 17.7160.92 ± 18.9159.26 ± 20.9757.79 ± 7.39Pittsburg-bridgesmaterial73.99 ± 3.7945.14 ± 15.6247.53 ± 13.3542.97 ± 27.9933.41 ± 14.3235.53 ± 13.8938.09 ± 22.4345.06 ± 20.5252.34 ± 19.8831.28 ± 10.34Planning99.62 ± 2.38104.13 ± 8.7699.73 ± 0.0283.73 ± 22.6769.71 ± 2.8272.56 ± 14.7683.38 ± 17.31101.14 ± 12.75105.45 ± 20.7192.84 ± 21.47Plant-margin94.95 ± 0.1215.73 ± 2.4654.50 ± 4.1731.05 ± 2.6317.36 ± 2.2915.40 ± 2.8315.02 ± 2.8524.09 ± 1.8123.12 ± 2.5193.24 ± 2.19Plant-shape91.94 ± 0.1147.32 ± 3.0355.79 ± 3.2539.84 ± 3.1651.57 ± 1.6343.68 ± 3.1640.34 ± 3.3943.86 ± 3.2241.23 ± 3.0392.35 ± 1.63Plant-texture95.39 ± 0.1525.87 ± 3.1850.29 ± 3.3925.28 ± 2.6816.86 ± 2.5214.59 ± 2.3114.08 ± 2.3723.84 ± 1.6022.80 ± 1.5997.53 ± 0.91Poker-hand-training-true99.97 ± 0.0199.98 ± 0.0384.40 ± 2.9193.48 ± 1.5172.66 ± 1.7674.66 ± 1.6476.64 ± 1.9696.31 ± 1.2696.86 ± 1.7988.07 ± 0.03Post-operative97.54 ± 2.88103.29 ± 8.2397.97 ± 0.37101.82 ± 20.3666.34 ± 9.6571.48 ± 12.9976.48 ± 17.8697.20 ± 19.90101.48 ± 28.6771.48 ± 12.99Primary-tumor95.28 ± 0.6968.67 ± 6.7173.20 ± 6.0176.00 ± 9.2560.18 ± 12.2462.24 ± 11.8663.26 ± 13.4270.17 ± 7.3070.44 ± 7.8081.40 ± 3.14Qsarbioconcentration100.17 ± 0.61100.83 ± 4.02102.60 ± 5.96102.26 ± 15.1866.97 ± 1.4871.09 ± 4.1278.25 ± 7.59104.51 ± 6.05104.62 ± 4.8572.41 ± 8.44Qsarbiodegradation88.05 ± 1.7353.37 ± 6.9242.98 ± 6.4236.83 ± 5.0131.57 ± 5.8730.73 ± 4.8532.22 ± 5.5732.16 ± 3.7632.35 ± 3.6752.10 ± 8.81Qualitative-bankruptcy26.63 ± 1.921.79 ± 3.294.80 ± 6.530.66 ± 0.542.46 ± 5.542.46 ± 5.540.81 ± 2.571.60 ± 3.701.48 ± 3.653.28 ± 5.74Ringnorm59.88 ± 2.393.92 ± 0.6618.08 ± 0.3749.70 ± 3.172.81 ± 0.833.05 ± 0.823.30 ± 0.9716.74 ± 2.4917.42 ± 1.6971.14 ± 1.93Risk-factors-cervical-cancer96.16 ± 1.0992.97 ± 11.3049.02 ± 12.4447.55 ± 18.0252.88 ± 2.9353.88 ± 5.5949.80 ± 12.0941.47 ± 12.5145.32 ± 16.3231.89 ± 16.03Robotnavigation47.91 ± 1.2371.45 ± 2.170.69 ± 0.3717.81 ± 1.8315.05 ± 1.7313.31 ± 1.4812.09 ± 1.1719.84 ± 2.4219.17 ± 3.4737.18 ± 2.86Sapfile95.19 ± 1.5877.07 ± 9.4892.26 ± 18.2996.60 ± 13.9579.45 ± 13.7578.18 ± 10.6378.15 ± 13.0681.94 ± 12.1382.67 ± 16.5990.31 ± 19.72Sat51.32 ± 0.5225.36 ± 1.4918.48 ± 1.1311.75 ± 0.9791.15 ± 0.6689.69 ± 0.5889.69 ± 0.5813.80 ± 1.7114.23 ± 1.2649.67 ± 1.61Satelite51.35 ± 0.6025.36 ± 1.3618.21 ± 0.8511.72 ± 1.3791.17 ± 0.7189.59 ± 0.8889.59 ± 0.8813.49 ± 0.6614.00 ± 1.0349.40 ± 2.03Scadi84.82 ± 1.6422.22 ± 11.1032.14 ± 15.3435.37 ± 17.0332.36 ± 12.7628.64 ± 18.7124.89 ± 20.4128.81 ± 14.8528.22 ± 14.9755.28 ± 13.83Schillingdata82.03 ± 2.0042.45 ± 2.6399.92 ± 0.0063.68 ± 3.9357.60 ± 0.4047.78 ± 4.4336.36 ± 2.8732.39 ± 8.2939.05 ± 12.6358.26 ± 1.72Seeds42.07 ± 5.7814.04 ± 6.2714.78 ± 8.7410.00 ± 2.969.29 ± 5.889.29 ± 5.889.29 ± 5.889.26 ± 3.268.33 ± 3.1126.43 ± 15.08Segment53.80 ± 1.2423.49 ± 1.804.27 ± 1.123.65 ± 0.7240.40 ± 3.3638.48 ± 2.8038.54 ± 2.886.42 ± 1.055.63 ± 0.8342.17 ± 3.24Seismic-bumps98.69 ± 0.40115.78 ± 13.1298.60 ± 3.5886.32 ± 11.8053.38 ± 0.0653.38 ± 0.0653.38 ± 0.0678.60 ± 8.8875.65 ± 8.0557.15 ± 4.41Semeion96.78 ± 0.0715.63 ± 3.0329.94 ± 2.4110.00 ± 1.864.88 ± 1.194.26 ± 0.774.33 ± 0.809.99 ± 1.859.37 ± 1.9289.35 ± 0.53Setapprocesst193.44 ± 5.9396.50 ± 43.9487.03 ± 39.9581.33 ± 23.3583.51 ± 18.7572.54 ± 24.3476.34 ± 21.0982.46 ± 42.8085.72 ± 44.1964.52 ± 53.46Setapprocesst1098.97 ± 3.13124.35 ± 32.4194.02 ± 29.9788.89 ± 36.5474.50 ± 9.5974.50 ± 9.5974.50 ± 9.59105.91 ± 54.99105.17 ± 48.8884.35 ± 17.77Setapprocesst1198.56 ± 4.45101.50 ± 58.3881.02 ± 38.4193.61 ± 33.2674.50 ± 9.5974.50 ± 9.5974.50 ± 9.5986.46 ± 33.2578.38 ± 37.2495.80 ± 22.70Setapprocesst297.76 ± 3.5873.36 ± 30.5559.92 ± 40.5983.49 ± 46.0274.50 ± 9.5974.50 ± 9.5974.50 ± 9.5984.47 ± 38.0178.61 ± 38.2241.47 ± 37.02Setapprocesst397.51 ± 3.1778.93 ± 26.9088.97 ± 34.4976.68 ± 30.3074.50 ± 9.5974.50 ± 9.5974.50 ± 9.5977.26 ± 27.6477.43 ± 19.43104.81 ± 36.47Setapprocesst499.87 ± 2.10122.70 ± 60.90110.95 ± 35.4897.13 ± 42.8768.66 ± 13.0068.66 ± 13.0068.66 ± 13.00109.70 ± 45.59105.27 ± 38.8866.22 ± 27.24Setapprocesst596.83 ± 4.53118.50 ± 38.81105.16 ± 36.9490.15 ± 36.2077.22 ± 14.4579.94 ± 17.5979.94 ± 17.5991.72 ± 26.5486.41 ± 25.9277.05 ± 57.09Setapprocesst697.09 ± 2.1272.69 ± 34.8978.35 ± 27.5680.69 ± 31.4774.50 ± 9.5974.50 ± 9.5974.50 ± 9.5982.28 ± 31.9683.55 ± 31.7289.05 ± 46.01Setapprocesst797.36 ± 4.0257.12 ± 30.9387.54 ± 43.2280.30 ± 31.0974.50 ± 9.5974.50 ± 9.5974.50 ± 9.5962.70 ± 38.9964.34 ± 39.59105.09 ± 34.29Setapprocesst896.38 ± 2.6170.34 ± 32.1167.05 ± 33.1583.06 ± 34.0074.50 ± 9.5974.50 ± 9.5974.50 ± 9.5976.02 ± 35.5374.51 ± 36.64113.36 ± 28.85Setapprocesst998.09 ± 2.6578.22 ± 32.6870.80 ± 35.6993.07 ± 20.3074.50 ± 9.5974.50 ± 9.5974.50 ± 9.5964.42 ± 39.1173.83 ± 36.60110.64 ± 39.73Shillbiddingdataset64.59 ± 0.9718.80 ± 1.932.83 ± 0.764.15 ± 1.482.40 ± 0.912.32 ± 1.091.82 ± 1.022.19 ± 0.881.92 ± 1.0414.25 ± 2.80Shuttle-landing-control98.09 ± 98.47153.52 ± 221.3161.65 ± 13.4881.09 ± 116.7810.00 ± 31.6210.00 ± 31.6210.00 ± 31.6294.74 ± 194.4998.24 ± 206.9490.00 ± 251.44Somervillehappinesssurvey201593.67 ± 5.9089.07 ± 11.6082.68 ± 20.0083.95 ± 20.2680.34 ± 21.7583.02 ± 20.6382.95 ± 23.4684.30 ± 21.1885.77 ± 21.6269.05 ± 31.84Sonar90.81 ± 2.6462.61 ± 17.9157.49 ± 14.4727.74 ± 13.9168.49 ± 10.8759.72 ± 18.0353.03 ± 19.1238.08 ± 19.2637.80 ± 18.7975.34 ± 22.26Soybean88.59 ± 0.639.44 ± 5.7315.32 ± 5.0318.94 ± 4.9210.70 ± 6.568.56 ± 4.879.26 ± 5.1315.90 ± 6.4415.33 ± 5.9575.82 ± 2.65Spambase84.20 ± 0.6943.63 ± 3.7118.72 ± 2.0919.36 ± 2.2613.84 ± 1.9513.61 ± 2.3013.79 ± 1.9322.48 ± 2.5727.47 ± 12.1045.33 ± 4.18Speaker-accent88.94 ± 2.9565.19 ± 10.7545.75 ± 13.1329.60 ± 12.5359.48 ± 5.5453.85 ± 6.0753.85 ± 6.0736.25 ± 8.7037.57 ± 9.1270.82 ± 6.72Spect94.05 ± 5.8870.52 ± 33.6486.21 ± 21.82111.23 ± 27.4979.59 ± 25.4280.41 ± 27.2383.14 ± 22.23105.25 ± 38.65105.67 ± 38.3562.49 ± 20.91Spectf93.47 ± 4.0949.03 ± 24.5956.85 ± 22.7765.95 ± 36.6265.00 ± 12.9165.00 ± 12.9147.50 ± 27.5159.54 ± 28.0057.60 ± 26.1557.50 ± 16.87Statlog-australian-credit98.53 ± 0.69105.50 ± 4.7092.82 ± 10.37101.28 ± 7.6874.34 ± 4.0681.65 ± 14.6382.63 ± 12.8093.88 ± 7.5795.03 ± 7.0479.67 ± 14.60Statlog-german-credit97.57 ± 0.3268.80 ± 7.5172.76 ± 9.8076.73 ± 9.3556.88 ± 9.8154.02 ± 8.9154.02 ± 10.5370.24 ± 8.4166.81 ± 7.4069.26 ± 5.43Statlog-heart79.99 ± 3.4137.70 ± 13.1056.04 ± 16.7450.66 ± 17.2034.50 ± 10.7240.50 ± 17.0341.25 ± 19.4445.54 ± 11.9041.61 ± 15.5058.49 ± 12.65Statlog-image50.97 ± 1.1923.62 ± 1.874.25 ± 1.143.65 ± 0.726.67 ± 1.035.66 ± 1.115.30 ± 1.046.16 ± 1.006.14 ± 1.2242.37 ± 2.87Statlog-landsat50.64 ± 0.8825.41 ± 2.7418.67 ± 2.1612.33 ± 2.1013.03 ± 1.9612.13 ± 1.7112.05 ± 1.9914.70 ± 1.5314.52 ± 2.1348.93 ± 2.08Statlog-shuttle72.47 ± 0.5427.12 ± 1.380.14 ± 0.070.21 ± 0.100.70 ± 0.130.57 ± 0.130.55 ± 0.121.28 ± 0.171.26 ± 0.1414.83 ± 0.84Statlog-vehicle77.89 ± 1.5774.64 ± 3.2137.89 ± 5.6140.51 ± 5.9431.06 ± 5.1826.33 ± 3.4726.01 ± 3.1526.89 ± 3.5226.91 ± 4.8465.11 ± 6.80Steel-plates74.89 ± 1.2851.74 ± 4.5932.78 ± 3.8536.31 ± 3.4931.44 ± 3.5629.59 ± 2.9029.72 ± 3.7437.74 ± 2.8537.67 ± 2.9266.60 ± 4.99Synthetic-control67.81 ± 1.686.59 ± 3.8810.39 ± 4.215.25 ± 2.550.80 ± 1.030.60 ± 0.970.60 ± 0.972.38 ± 1.172.10 ± 1.1451.60 ± 4.60Teaching91.04 ± 3.5985.30 ± 6.2265.99 ± 14.7356.33 ± 19.1965.76 ± 22.0457.76 ± 19.0156.76 ± 18.5680.76 ± 7.8480.52 ± 7.8480.45 ± 16.39Thoraricsurgery98.87 ± 1.05111.80 ± 29.7099.67 ± 0.2289.90 ± 23.2158.48 ± 0.0060.99 ± 4.0460.99 ± 4.0492.81 ± 15.6486.92 ± 17.5665.17 ± 6.59Thyroid57.77 ± 8.057.98 ± 7.6618.77 ± 13.148.02 ± 5.0551.27 ± 10.3248.41 ± 9.5248.41 ± 9.529.32 ± 6.578.93 ± 6.4319.81 ± 18.26Thyroid-train92.47 ± 1.0247.14 ± 5.662.20 ± 2.2655.74 ± 9.3934.50 ± 4.8630.39 ± 4.2226.29 ± 4.4430.70 ± 6.7235.07 ± 10.9624.80 ± 5.47Tic-tac-toe96.31 ± 0.5282.35 ± 1.3015.71 ± 4.650.18 ± 0.013.00 ± 3.101.62 ± 2.200.69 ± 1.576.34 ± 2.175.45 ± 2.6266.37 ± 5.27Titanic83.80 ± 1.8271.83 ± 3.9071.99 ± 3.0070.67 ± 2.8149.24 ± 5.0148.20 ± 4.6048.20 ± 4.6073.76 ± 4.9573.97 ± 6.5751.21 ± 4.63Trains84.82 ± 15.4073.34 ± 94.6651.94 ± 84.0576.67 ± 77.4673.33 ± 94.6755.00 ± 88.5655.00 ± 88.5650.95 ± 67.2949.70 ± 68.53183.33 ± 0.00Transfusion96.33 ± 1.5680.83 ± 5.9683.64 ± 3.4187.89 ± 11.1068.12 ± 7.9174.38 ± 8.4377.33 ± 10.2681.45 ± 4.2181.29 ± 5.4665.18 ± 4.59Trial68.74 ± 3.5320.60 ± 7.260.00 ± 0.000.84 ± 1.751.92 ± 1.851.37 ± 1.451.37 ± 1.452.16 ± 1.921.78 ± 1.940.00 ± 0.00Turkiye-student-evaluation93.92 ± 0.3427.54 ± 2.760.06 ± 0.1317.88 ± 2.938.37 ± 0.976.93 ± 1.106.93 ± 1.100.20 ± 0.020.14 ± 0.020.06 ± 0.13Unbalanced95.88 ± 1.76389.07 ± 168.3295.69 ± 0.5587.80 ± 59.7547.45 ± 8.2656.16 ± 18.1563.68 ± 22.7488.33 ± 22.7382.28 ± 28.3747.45 ± 8.26Urbanlandcover80.42 ± 3.3423.92 ± 10.7925.59 ± 7.5230.66 ± 11.8293.85 ± 2.2693.85 ± 2.2693.85 ± 2.2627.55 ± 10.2227.18 ± 10.3757.61 ± 16.50Userknowledgemodeling75.33 ± 5.1830.86 ± 5.6911.70 ± 4.6328.66 ± 14.0831.26 ± 9.0120.64 ± 6.0120.09 ± 5.5012.98 ± 4.3911.14 ± 5.4720.65 ± 11.01Vehicle77.45 ± 1.6675.41 ± 3.5137.74 ± 5.7440.51 ± 5.9492.71 ± 3.3891.61 ± 4.0991.61 ± 4.0927.03 ± 4.0026.45 ± 5.3764.16 ± 6.72Vertebral-column-2classes78.84 ± 9.0750.23 ± 15.7347.01 ± 14.0241.81 ± 11.5533.18 ± 12.1735.39 ± 14.2534.65 ± 13.0341.47 ± 9.6740.32 ± 9.7459.72 ± 17.53Vertebral-column-3classes66.41 ± 4.1033.87 ± 5.6532.10 ± 9.0434.85 ± 7.6925.81 ± 9.4324.27 ± 11.1725.30 ± 10.7331.61 ± 5.3730.66 ± 5.1039.75 ± 11.17Veteran92.97 ± 1.9375.26 ± 12.8580.96 ± 8.6795.26 ± 21.2070.42 ± 1.8870.42 ± 1.8870.42 ± 1.8893.54 ± 29.3081.84 ± 28.6863.59 ± 17.95Vowel80.68 ± 1.0551.58 ± 3.7621.88 ± 5.271.99 ± 0.9016.44 ± 2.869.78 ± 2.217.78 ± 2.2812.32 ± 3.3710.10 ± 2.5874.78 ± 4.63Wall-following48.03 ± 1.1571.46 ± 1.430.60 ± 0.3917.92 ± 1.8316.60 ± 2.1314.19 ± 2.3913.06 ± 1.9620.34 ± 2.1719.91 ± 2.6236.77 ± 2.15Waveform-noise82.77 ± 0.9430.52 ± 2.1738.30 ± 1.8239.61 ± 1.9020.79 ± 2.2721.93 ± 1.9222.65 ± 2.1224.73 ± 2.3525.51 ± 2.0369.42 ± 4.12Waveform75.61 ± 0.9129.23 ± 1.8538.13 ± 1.9534.70 ± 3.0220.37 ± 2.0421.51 ± 2.0721.81 ± 2.1524.51 ± 1.7625.52 ± 1.8771.20 ± 2.46Wbc21.48 ± 3.025.64 ± 3.1319.31 ± 4.1710.08 ± 4.615.15 ± 3.475.15 ± 3.474.83 ± 3.819.33 ± 3.058.55 ± 4.0419.64 ± 6.41Wdbc52.63 ± 4.7214.94 ± 8.8815.44 ± 8.539.03 ± 3.9979.67 ± 1.2879.67 ± 1.2879.67 ± 1.287.46 ± 3.608.46 ± 4.4521.79 ± 6.79Weathernominal99.31 ± 34.0789.36 ± 34.0379.58 ± 76.74105.12 ± 59.8655.00 ± 59.8680.00 ± 82.3355.00 ± 83.1755.18 ± 81.5955.09 ± 82.12115.00 ± 97.33Weathernumeric117.85 ± 31.2094.85 ± 27.9451.25 ± 72.2853.86 ± 72.3155.00 ± 59.86100.00 ± 97.18100.00 ± 97.1857.19 ± 82.3358.08 ± 82.85115.00 ± 97.33Website-phishingdata77.13 ± 1.0437.13 ± 3.1522.20 ± 3.0124.98 ± 3.4225.55 ± 2.2624.63 ± 2.1322.00 ± 3.6622.88 ± 3.3221.51 ± 3.9432.53 ± 2.92Wholesalecustomersdata52.14 ± 4.4127.19 ± 6.3430.44 ± 6.4327.98 ± 10.9373.76 ± 1.6673.76 ± 1.6673.76 ± 1.6624.95 ± 5.7124.87 ± 5.8421.82 ± 8.40Wifi-localization53.31 ± 0.963.08 ± 0.754.59 ± 0.682.48 ± 1.1827.93 ± 3.3226.07 ± 3.4326.07 ± 3.433.69 ± 0.483.36 ± 0.7028.00 ± 5.94Wilt98.25 ± 1.77169.09 ± 9.2121.81 ± 4.4250.33 ± 5.7351.14 ± 1.2951.14 ± 1.2951.14 ± 1.2926.92 ± 4.6622.69 ± 3.5754.17 ± 1.88Wine-quality-red85.83 ± 2.0182.11 ± 3.2163.71 ± 3.9255.01 ± 4.2157.83 ± 3.8257.24 ± 4.1157.05 ± 4.1477.23 ± 3.5475.38 ± 3.2170.46 ± 4.77Wine-quality-white90.26 ± 0.4089.15 ± 0.9665.18 ± 3.2051.32 ± 3.7063.63 ± 3.3862.36 ± 3.6562.00 ± 3.9082.93 ± 1.4482.53 ± 1.3880.28 ± 3.17Wine52.96 ± 3.135.09 ± 7.0211.00 ± 7.849.36 ± 6.111.68 ± 3.552.58 ± 4.162.58 ± 4.165.66 ± 4.985.43 ± 5.1134.99 ± 14.01Yamilnaduelectricty92.30 ± 0.69100.00 ± 0.0092.08 ± 0.8983.42 ± 1.3898.78 ± 0.5898.61 ± 0.5998.74 ± 0.6499.98 ± 0.0499.98 ± 0.0597.94 ± 1.18Yeast91.42 ± 0.6167.16 ± 2.4665.36 ± 4.0061.75 ± 3.0551.13 ± 5.2651.04 ± 5.4650.87 ± 5.8065.48 ± 2.4065.15 ± 2.5377.12 ± 4.38Youtobe-kabita-preprocessing92.32 ± 0.3686.08 ± 0.8583.77 ± 1.3083.17 ± 1.3873.12 ± 2.7674.40 ± 2.5675.21 ± 2.4687.94 ± 0.6587.78 ± 0.6578.90 ± 2.34Youtobe-nisha-preprocessing91.64 ± 0.2685.67 ± 0.8481.03 ± 0.8780.28 ± 1.9769.48 ± 2.4870.90 ± 2.4571.38 ± 2.6086.17 ± 0.6786.08 ± 0.9580.24 ± 1.53Z-alizadehsani95.90 ± 1.2448.74 ± 14.1157.45 ± 18.0253.44 ± 16.6569.98 ± 2.6769.98 ± 2.6769.98 ± 2.6742.10 ± 17.8543.58 ± 15.4471.56 ± 12.76Zoo65.90 ± 3.255.23 ± 8.3610.06 ± 11.098.68 ± 6.547.54 ± 10.517.54 ± 10.517.54 ± 10.518.97 ± 7.187.92 ± 7.0734.76 ± 13.50Average rae (rank)79.08 (10)60.74 (9)44.76 (3)45.24 (4)49.04 (7)47.95 (6)47.48 (5)43.61 (2)43.27 (1)56.74 (8)Average rae std (rank)3.21 (1)10.91 (7)9.45 (5)11.66 (9)7.55 (2)8.53 (3)8.75 (4)10.86 (6)11.51 (8)11.75 (10)Table 11
The detailed experimental results on root relative squared error and standard deviation.
DatasetRNNBJ48KNNSVM1SVM2SVM3ANN1ANN2OneRAbalone87.04 ± 1.4598.65 ± 3.4896.11 ± 1.73112.29 ± 3.33100.03 ± 3.7199.50 ± 3.5699.58 ± 3.3881.78 ± 1.9382.19 ± 2.46108.24 ± 2.48Absenteeism-at-work64.13 ± 1.2965.75 ± 7.935.26 ± 9.6381.19 ± 7.4578.51 ± 8.0378.51 ± 8.0378.51 ± 8.0329.02 ± 6.2529.45 ± 8.6143.21 ± 8.16Acute-inflammation49.79 ± 4.9130.75 ± 6.750.00 ± 0.001.68 ± 0.080.00 ± 0.000.00 ± 0.000.00 ± 0.001.23 ± 0.110.89 ± 0.0989.41 ± 19.34Acute-nephritis44.00 ± 2.7428.44 ± 26.940.00 ± 0.001.69 ± 0.080.00 ± 0.000.00 ± 0.000.00 ± 0.001.23 ± 0.140.98 ± 0.1644.83 ± 39.70Adult94.87 ± 0.8994.07 ± 7.0388.25 ± 6.56108.54 ± 8.9495.11 ± 11.8694.77 ± 11.6494.93 ± 11.8089.31 ± 8.0990.37 ± 7.98103.82 ± 3.43Aggregation41.47 ± 7.375.51 ± 3.225.39 ± 8.692.73 ± 5.411.82 ± 5.753.62 ± 7.643.62 ± 7.6416.58 ± 4.5515.24 ± 6.30101.51 ± 3.69Algerianforest67.39 ± 5.5938.32 ± 28.1332.55 ± 26.7666.75 ± 19.67129.31 ± 2.58124.52 ± 6.88124.52 ± 6.8829.20 ± 20.2723.61 ± 23.0918.48 ± 30.00Annealing92.46 ± 0.55110.20 ± 10.3437.23 ± 13.8971.37 ± 8.0973.64 ± 10.2364.64 ± 9.7362.34 ± 8.3858.54 ± 14.2857.72 ± 12.3990.27 ± 0.06Arrhythmia97.62 ± 0.51105.27 ± 9.7095.99 ± 10.56115.41 ± 4.38106.37 ± 3.39100.94 ± 5.15102.18 ± 6.1189.64 ± 8.21101.99 ± 11.41109.41 ± 3.31Au1-100099.16 ± 0.1897.22 ± 2.1597.74 ± 9.49116.84 ± 8.88116.17 ± 0.26116.17 ± 0.26115.48 ± 1.85121.39 ± 7.93116.95 ± 8.29116.17 ± 0.26Au4-250095.57 ± 0.6998.30 ± 2.7693.63 ± 8.56113.00 ± 7.26116.52 ± 4.28116.52 ± 4.28116.52 ± 4.28101.91 ± 5.90102.40 ± 6.97127.86 ± 5.57Au6-1000100.19 ± 0.35103.39 ± 0.83130.38 ± 3.17141.35 ± 3.10133.03 ± 0.02133.03 ± 0.02133.03 ± 0.02129.97 ± 2.01131.94 ± 3.22132.76 ± 1.94Au6-250-drift-au6-cd1-500100.42 ± 0.60104.58 ± 1.76130.17 ± 3.00139.11 ± 3.50135.09 ± 0.52135.09 ± 0.52135.09 ± 0.52128.72 ± 1.87128.09 ± 3.59132.84 ± 3.07Au6-cd1-400100.02 ± 0.56107.06 ± 3.95116.33 ± 6.32139.16 ± 6.89131.99 ± 0.50131.99 ± 0.50131.99 ± 0.50124.44 ± 5.63125.69 ± 4.62128.15 ± 6.26Au7-300-drift-au7-cpd1-80099.03 ± 0.6397.68 ± 1.41114.95 ± 4.82130.95 ± 4.15134.79 ± 1.52135.47 ± 1.81135.47 ± 1.81106.21 ± 3.72106.22 ± 3.32137.99 ± 2.84Au7-70098.90 ± 1.3698.55 ± 2.70111.03 ± 4.59138.48 ± 6.11137.25 ± 3.13138.19 ± 2.55138.19 ± 2.55113.58 ± 3.03111.08 ± 3.93128.82 ± 4.47Au7-cpd1-50099.46 ± 0.8598.56 ± 2.77102.46 ± 6.33128.08 ± 5.92128.48 ± 0.87128.06 ± 1.63128.06 ± 1.63115.19 ± 4.86115.27 ± 6.42126.30 ± 5.00Audiology-std97.30 ± 0.3771.56 ± 13.3966.74 ± 15.4972.36 ± 17.4992.29 ± 10.1985.55 ± 15.0581.75 ± 12.9955.26 ± 10.0458.45 ± 7.30110.81 ± 2.16Audit-risk62.32 ± 3.3245.95 ± 9.602.31 ± 7.3228.16 ± 11.6420.84 ± 15.3617.56 ± 15.9915.22 ± 16.7431.35 ± 11.0632.12 ± 10.840.00 ± 0.00Autism-adolescent-data79.76 ± 5.6621.72 ± 14.920.00 ± 0.0055.68 ± 30.3025.41 ± 32.8131.66 ± 33.3825.41 ± 32.8147.83 ± 37.0247.60 ± 37.800.00 ± 0.00Autism-adult-data76.53 ± 2.9827.93 ± 13.510.00 ± 0.0047.57 ± 19.0411.90 ± 15.686.49 ± 13.939.17 ± 15.071.85 ± 1.121.61 ± 1.080.00 ± 0.00Autism-child-data81.09 ± 2.3520.96 ± 7.070.00 ± 0.0066.42 ± 11.513.72 ± 11.750.00 ± 0.000.00 ± 0.006.57 ± 7.917.57 ± 8.330.00 ± 0.00Autos79.44 ± 4.0093.69 ± 15.4959.87 ± 12.1674.84 ± 18.73130.14 ± 4.27129.13 ± 5.18129.13 ± 5.1869.30 ± 10.5569.54 ± 10.2298.15 ± 12.45Avila55.95 ± 0.61113.05 ± 2.0036.89 ± 3.6179.05 ± 4.3791.07 ± 3.0387.94 ± 2.7385.79 ± 3.4681.95 ± 1.6581.87 ± 2.5285.67 ± 3.79Balance-scale78.97 ± 2.1764.09 ± 1.7784.72 ± 6.5374.91 ± 9.1857.92 ± 4.5750.23 ± 3.0647.21 ± 5.0146.13 ± 7.3347.42 ± 7.76123.73 ± 6.26Balloons84.28 ± 22.19100.00 ± 0.00101.11 ± 32.9873.52 ± 19.1673.13 ± 77.5945.07 ± 73.0145.07 ± 73.0175.07 ± 65.8573.43 ± 68.31132.51 ± 76.43Bank96.18 ± 0.62111.16 ± 4.1497.70 ± 3.91116.66 ± 5.44101.26 ± 3.03100.51 ± 2.8099.77 ± 5.3492.83 ± 4.1594.47 ± 6.13105.87 ± 2.83Blood97.90 ± 1.24100.92 ± 5.3593.54 ± 3.96124.81 ± 9.96108.82 ± 5.05107.53 ± 4.02108.89 ± 3.5492.25 ± 2.8792.58 ± 3.13114.18 ± 4.07Breast-cancer-wisc-diag58.60 ± 4.8749.18 ± 21.8848.81 ± 21.0140.40 ± 10.1727.81 ± 17.5625.83 ± 16.1824.22 ± 13.5535.55 ± 11.2234.82 ± 15.5667.21 ± 12.49Breast-cancer-wisc-prog98.67 ± 2.27122.29 ± 24.41111.32 ± 19.13120.18 ± 22.65105.85 ± 15.90107.68 ± 24.75108.63 ± 25.97109.19 ± 20.51111.40 ± 23.50127.77 ± 17.95Breast-cancer-wisc42.39 ± 7.5341.10 ± 9.6949.02 ± 14.5440.44 ± 18.9931.30 ± 17.8432.10 ± 18.2335.28 ± 15.2839.94 ± 20.1438.95 ± 15.3554.13 ± 18.22Breast-cancer94.83 ± 2.4399.22 ± 10.73101.11 ± 7.07117.59 ± 16.06111.32 ± 11.38112.77 ± 11.87115.11 ± 10.81104.46 ± 11.90110.64 ± 7.47118.69 ± 9.24Breast-tissue76.84 ± 8.0177.80 ± 20.8379.52 ± 23.2175.89 ± 27.9298.27 ± 20.2984.92 ± 24.4878.96 ± 33.8975.31 ± 11.3277.58 ± 13.99104.08 ± 11.32Bupa96.09 ± 2.82103.16 ± 7.94109.46 ± 13.07124.65 ± 8.26129.90 ± 3.37129.43 ± 3.63129.43 ± 3.6394.47 ± 8.3694.72 ± 8.45136.60 ± 11.34Caesarian93.60 ± 11.3596.05 ± 22.1399.08 ± 10.67116.36 ± 24.92135.09 ± 8.43122.67 ± 20.60127.78 ± 26.66122.23 ± 31.46121.16 ± 27.44142.18 ± 31.33Car95.36 ± 0.7969.09 ± 2.6129.29 ± 7.4736.24 ± 6.0132.85 ± 8.1727.62 ± 8.9426.08 ± 7.7443.50 ± 5.2944.30 ± 5.80114.50 ± 0.15Cardiotocography-10classes84.03 ± 0.6275.38 ± 3.8660.30 ± 4.2470.89 ± 4.9366.78 ± 3.7764.57 ± 4.9363.32 ± 3.9058.39 ± 5.0760.51 ± 4.16111.71 ± 2.42Cardiotocography-3classes89.05 ± 1.3994.05 ± 9.5359.47 ± 10.7265.38 ± 7.5069.32 ± 7.4865.19 ± 8.8064.76 ± 7.3659.43 ± 4.4658.51 ± 8.59100.16 ± 8.65Cervical-cancer84.43 ± 6.4651.34 ± 37.8467.07 ± 48.2157.33 ± 48.43118.53 ± 2.39111.60 ± 14.93111.60 ± 14.9336.13 ± 34.4836.27 ± 35.10101.32 ± 19.29Chemicalcomposionofceramic50.06 ± 4.870.00 ± 0.007.07 ± 22.362.46 ± 0.01147.37 ± 3.13147.37 ± 3.13147.37 ± 3.131.52 ± 1.091.15 ± 0.900.00 ± 0.00Chess-krvk96.95 ± 0.2195.51 ± 0.6292.34 ± 3.10105.32 ± 3.35109.87 ± 2.65107.60 ± 2.33105.98 ± 3.0788.64 ± 1.2990.21 ± 1.38128.99 ± 1.82Chess-krvkp95.07 ± 0.2463.94 ± 3.4614.61 ± 7.4546.19 ± 4.4621.81 ± 7.5016.25 ± 8.2817.13 ± 6.0014.65 ± 6.5314.17 ± 7.25115.92 ± 2.50Congressional-voting99.08 ± 0.5698.72 ± 8.37100.02 ± 4.89102.46 ± 10.65127.09 ± 6.41127.74 ± 8.38128.44 ± 9.28100.83 ± 7.17100.21 ± 9.10124.89 ± 4.38Conn-bench-sonar-mines-rocks91.67 ± 2.69105.49 ± 14.07103.66 ± 12.8270.39 ± 20.5177.67 ± 18.9766.81 ± 28.7362.39 ± 28.4976.31 ± 27.5872.57 ± 27.11119.98 ± 18.01Conn-bench-vowel-deterding75.28 ± 0.7271.22 ± 4.9364.24 ± 9.748.49 ± 10.2935.40 ± 6.5720.36 ± 11.8613.93 ± 12.4252.47 ± 6.1457.37 ± 6.61119.12 ± 4.56Connect-499.57 ± 0.06109.71 ± 2.9594.21 ± 4.89122.65 ± 5.94116.17 ± 0.57112.39 ± 2.25109.60 ± 4.18108.75 ± 5.03106.76 ± 4.24115.97 ± 0.29Connectionist91.28 ± 2.65106.31 ± 19.3198.82 ± 14.6769.96 ± 16.79123.85 ± 13.85107.55 ± 25.6198.53 ± 37.5472.27 ± 22.0072.77 ± 21.46121.69 ± 11.57Contrac97.07 ± 0.6398.84 ± 3.76101.01 ± 3.41130.99 ± 4.40118.62 ± 2.87118.74 ± 4.60119.53 ± 4.9793.08 ± 2.3893.39 ± 2.68126.84 ± 2.43Covid-1987.72 ± 14.6179.48 ± 43.8673.28 ± 73.0887.99 ± 54.3082.96 ± 72.6891.62 ± 83.9075.86 ± 84.9270.16 ± 68.2469.60 ± 71.2240.14 ± 65.67Credit-approval85.23 ± 2.4187.36 ± 7.0771.92 ± 8.6383.63 ± 15.0275.69 ± 14.7576.80 ± 12.6577.99 ± 12.3271.42 ± 7.8974.32 ± 8.9375.63 ± 12.80Crowdsource78.25 ± 1.1378.56 ± 5.3865.54 ± 4.8843.75 ± 4.47100.86 ± 2.14100.86 ± 2.14100.86 ± 2.1451.09 ± 6.5151.84 ± 7.8394.05 ± 4.77Crx84.30 ± 2.5087.46 ± 6.0866.22 ± 8.1686.43 ± 12.22133.68 ± 5.46132.53 ± 6.48130.46 ± 7.9277.27 ± 10.2474.64 ± 6.9575.63 ± 12.80Cryother69.03 ± 11.0661.61 ± 31.4740.21 ± 30.2552.56 ± 36.3077.05 ± 35.7774.27 ± 35.3174.27 ± 35.3155.57 ± 26.2764.64 ± 24.7584.20 ± 23.42Cylinder-bands94.25 ± 1.70109.94 ± 11.74102.49 ± 12.31112.91 ± 13.07100.60 ± 7.8593.26 ± 9.8188.51 ± 7.1598.44 ± 10.0397.40 ± 9.04118.22 ± 7.65Dbworld-bodies97.96 ± 0.7491.88 ± 39.7872.99 ± 50.38124.94 ± 15.83134.97 ± 7.40134.97 ± 7.40118.84 ± 21.59//56.43 ± 50.38Dbworld-bodies-stemmed97.80 ± 0.8390.04 ± 36.8255.89 ± 44.18115.89 ± 24.62134.97 ± 7.40127.54 ± 14.01100.12 ± 24.08//88.13 ± 53.62Dbworld-subjects98.03 ± 0.7455.45 ± 29.6789.11 ± 19.4484.40 ± 30.41134.97 ± 7.40134.97 ± 7.40134.97 ± 7.4049.62 ± 40.3050.30 ± 45.60120.97 ± 20.46Dbworld-subjects-stemmed98.04 ± 0.9354.72 ± 31.8478.89 ± 33.7774.88 ± 28.64134.97 ± 7.40134.97 ± 7.40134.97 ± 7.4052.27 ± 39.3354.64 ± 39.86124.42 ± 15.79Dermatology75.32 ± 0.6618.33 ± 14.1625.26 ± 16.2728.11 ± 19.8318.90 ± 16.8216.26 ± 17.5616.01 ± 17.8219.29 ± 8.8119.56 ± 9.41112.15 ± 2.54Diabetes90.33 ± 4.0487.05 ± 8.5093.05 ± 10.72114.11 ± 9.22123.93 ± 0.35123.93 ± 0.35123.93 ± 0.3588.21 ± 5.9188.85 ± 7.35111.61 ± 10.35Diabetic94.35 ± 1.52130.35 ± 3.28102.47 ± 6.98124.28 ± 7.54129.33 ± 7.61127.28 ± 9.96127.18 ± 9.4386.96 ± 7.1387.10 ± 7.01136.76 ± 8.48Divorce30.00 ± 11.7119.40 ± 25.0534.83 ± 28.2617.58 ± 22.3819.40 ± 25.0519.40 ± 25.0519.40 ± 25.0516.16 ± 20.7316.27 ± 21.0832.64 ± 30.09Dota2train99.85 ± 0.08104.85 ± 3.87119.95 ± 7.33123.48 ± 5.37137.75 ± 0.47136.25 ± 5.32137.84 ± 4.80130.90 ± 14.23128.88 ± 16.59133.68 ± 5.46Dow-jones-index93.85 ± 2.66110.18 ± 6.5092.93 ± 6.89134.37 ± 9.24138.58 ± 0.30138.58 ± 0.30138.58 ± 0.30105.45 ± 6.32107.80 ± 5.42131.99 ± 4.61Dry-bean-dataset40.16 ± 1.3646.24 ± 3.3039.11 ± 2.9736.00 ± 3.5996.74 ± 3.4696.74 ± 3.4696.74 ± 3.4637.71 ± 3.5638.09 ± 3.0687.48 ± 2.65Early-stage-diabetes-data-upload80.52 ± 2.3664.82 ± 9.5438.85 ± 12.4121.90 ± 19.2744.74 ± 22.0142.04 ± 21.7637.91 ± 23.8730.79 ± 14.3932.21 ± 16.8485.87 ± 10.59Echocardiogram91.63 ± 5.2085.00 ± 32.6989.39 ± 24.07105.49 ± 24.2485.62 ± 32.1486.34 ± 36.7686.34 ± 36.7689.68 ± 23.0588.82 ± 26.1678.84 ± 17.81Ecoli79.44 ± 1.5753.34 ± 10.9159.99 ± 16.7171.62 ± 12.1459.84 ± 10.8159.94 ± 10.2358.76 ± 8.7656.03 ± 7.7958.51 ± 7.7794.81 ± 10.09Eegeyesate92.77 ± 0.51140.59 ± 12.3475.92 ± 2.3081.12 ± 5.42134.69 ± 0.04134.63 ± 0.10134.63 ± 0.10100.04 ± 2.91100.40 ± 3.71122.94 ± 1.94Electrical74.59 ± 7.3328.67 ± 13.760.00 ± 0.0057.61 ± 24.1086.54 ± 18.2186.90 ± 16.6584.50 ± 15.9117.48 ± 14.9516.37 ± 13.973.84 ± 12.15Energy-y167.33 ± 1.1166.60 ± 4.2725.99 ± 7.1687.63 ± 7.3260.16 ± 3.7356.88 ± 4.7956.45 ± 8.8253.37 ± 3.0253.97 ± 4.1070.36 ± 4.26Energy-y262.98 ± 1.8259.28 ± 5.4949.15 ± 6.7386.64 ± 6.1057.05 ± 5.9154.18 ± 4.5352.63 ± 4.4346.47 ± 5.1845.91 ± 6.7360.36 ± 8.18Extentionofz-alizadehsani93.28 ± 1.0950.69 ± 15.964.91 ± 12.1865.58 ± 17.91118.38 ± 1.28118.38 ± 1.28118.38 ± 1.2819.52 ± 19.6419.47 ± 20.0179.75 ± 16.62Fertility99.64 ± 2.50103.14 ± 8.97110.92 ± 23.57116.09 ± 51.45105.82 ± 2.0095.33 ± 33.5589.19 ± 48.8487.80 ± 34.7990.72 ± 44.89105.82 ± 2.00First-order97.73 ± 1.16278.38 ± 9.700.00 ± 0.0021.63 ± 15.46105.14 ± 0.2071.37 ± 13.0045.13 ± 19.146.20 ± 9.735.63 ± 9.67103.00 ± 10.21Flags93.17 ± 1.73103.09 ± 6.7493.28 ± 12.85114.36 ± 9.25108.36 ± 10.53106.34 ± 11.56107.13 ± 14.89103.62 ± 13.05101.17 ± 9.90103.01 ± 8.41Foresttypes65.19 ± 3.2329.20 ± 21.7128.54 ± 23.9429.29 ± 19.57136.89 ± 2.30134.86 ± 3.38134.86 ± 3.3824.10 ± 16.4524.09 ± 17.2567.11 ± 17.23Garments-worker-productivity95.85 ± 0.53105.03 ± 2.13104.73 ± 4.85139.38 ± 3.22130.58 ± 3.01129.99 ± 3.04129.23 ± 2.5999.04 ± 3.33100.34 ± 3.44133.66 ± 3.68Gender-name-dataset100.32 ± 0.82124.83 ± 2.80100.10 ± 0.1599.11 ± 2.26122.30 ± 2.35122.12 ± 3.46122.02 ± 3.10100.56 ± 0.65100.86 ± 0.87128.32 ± 1.70Gesture-a1-raw54.41 ± 2.0978.70 ± 4.6148.63 ± 5.5632.45 ± 5.22133.07 ± 0.23133.07 ± 0.23133.07 ± 0.2347.38 ± 6.3047.42 ± 2.8530.33 ± 6.80Gesture-a1-va383.35 ± 1.72104.11 ± 4.6195.81 ± 6.9087.08 ± 4.64133.19 ± 0.13133.19 ± 0.13133.19 ± 0.1382.05 ± 2.5884.43 ± 4.15106.40 ± 2.71Gesture-a2-raw55.12 ± 1.0986.90 ± 5.3953.71 ± 7.0437.23 ± 12.58132.00 ± 0.25132.00 ± 0.25132.00 ± 0.2549.13 ± 4.4948.19 ± 6.0937.91 ± 9.21Gesture-a2-va387.85 ± 2.04117.67 ± 10.25105.65 ± 3.6695.63 ± 6.11132.16 ± 0.24132.16 ± 0.24132.16 ± 0.2492.42 ± 4.1894.44 ± 5.19114.52 ± 5.11Gesture-a3-raw47.60 ± 1.7391.15 ± 3.2841.91 ± 3.4431.34 ± 3.97131.25 ± 0.15131.25 ± 0.15131.25 ± 0.1548.29 ± 2.9349.41 ± 5.2335.29 ± 4.54Gesture-a3-va385.41 ± 0.92111.26 ± 3.8777.48 ± 6.0351.91 ± 4.77131.35 ± 0.20131.35 ± 0.20131.35 ± 0.2083.48 ± 3.5382.86 ± 2.97114.95 ± 2.80Gesture-b1-raw51.48 ± 2.62108.43 ± 4.3943.24 ± 7.9236.13 ± 10.17129.61 ± 0.72129.41 ± 0.81129.41 ± 0.8151.59 ± 6.4348.95 ± 4.2848.07 ± 6.62Gesture-b1-va387.25 ± 2.47128.32 ± 7.1587.85 ± 5.8550.33 ± 7.39129.95 ± 0.31129.95 ± 0.31129.95 ± 0.3187.35 ± 3.9686.40 ± 6.04125.54 ± 4.73Gesture-b3-raw57.69 ± 2.8093.30 ± 4.3946.77 ± 8.6034.08 ± 3.49132.38 ± 0.32132.38 ± 0.32132.38 ± 0.3250.93 ± 9.1252.43 ± 8.7333.85 ± 8.71Gesture-b3-va393.98 ± 1.41115.66 ± 3.94101.47 ± 4.6175.58 ± 4.98132.48 ± 0.15132.48 ± 0.15132.48 ± 0.1589.32 ± 4.8094.06 ± 5.10125.20 ± 5.78Gesture-c1-raw57.89 ± 2.5186.46 ± 3.7050.93 ± 5.1737.44 ± 5.75137.26 ± 0.36137.26 ± 0.36137.26 ± 0.3650.18 ± 7.0951.27 ± 8.2838.92 ± 8.27Gesture-c1-va388.63 ± 2.11102.77 ± 4.2298.51 ± 4.2086.33 ± 5.11137.48 ± 0.28137.48 ± 0.28137.48 ± 0.2885.44 ± 4.2989.37 ± 2.79121.76 ± 4.82Gesture-c3-raw56.15 ± 2.1290.95 ± 5.4853.79 ± 8.1341.72 ± 7.02136.91 ± 0.21136.91 ± 0.21136.91 ± 0.2154.09 ± 5.4859.42 ± 3.4637.86 ± 4.86Gesture-c3-va391.31 ± 1.49110.23 ± 2.36102.38 ± 4.9697.90 ± 6.11136.95 ± 0.18136.95 ± 0.18136.95 ± 0.1891.04 ± 3.8792.53 ± 5.78121.37 ± 2.94Glass82.19 ± 3.64102.03 ± 7.8987.40 ± 12.5287.15 ± 14.2085.22 ± 10.4686.50 ± 12.8688.00 ± 12.6080.26 ± 10.1879.87 ± 6.72107.44 ± 10.85Go-track-tracks73.67 ± 8.9776.28 ± 12.0060.07 ± 27.3048.88 ± 36.66103.74 ± 22.81104.08 ± 21.33104.08 ± 21.3364.23 ± 18.6064.32 ± 17.6495.42 ± 28.22Haberman-survival97.97 ± 2.8998.54 ± 7.5898.53 ± 3.60128.48 ± 14.74118.32 ± 10.07121.39 ± 5.88121.39 ± 5.8897.51 ± 6.1997.41 ± 6.44117.85 ± 5.87Hayes-roth73.71 ± 3.9677.38 ± 4.1659.28 ± 10.7746.15 ± 10.1960.55 ± 24.5375.26 ± 13.6476.81 ± 13.7073.09 ± 20.4572.97 ± 21.55131.15 ± 6.96Hcc-data95.40 ± 2.24109.37 ± 15.30110.61 ± 12.20122.62 ± 13.45127.07 ± 2.32127.07 ± 2.32127.07 ± 2.32111.77 ± 22.45114.42 ± 17.38111.74 ± 24.68Hcvdat85.09 ± 2.3678.59 ± 16.6876.01 ± 11.3787.36 ± 7.19104.58 ± 0.23104.58 ± 0.23104.58 ± 0.2364.82 ± 15.3671.08 ± 13.0496.31 ± 6.54Heart-cleveland92.89 ± 2.2994.58 ± 10.47110.50 ± 10.30117.14 ± 8.26114.18 ± 10.92112.30 ± 11.70114.03 ± 11.93105.31 ± 8.01106.11 ± 8.97120.91 ± 8.17Heart-hungarian81.71 ± 5.5381.94 ± 15.6085.06 ± 14.9596.81 ± 17.9187.03 ± 19.2785.86 ± 16.9183.96 ± 18.0486.49 ± 16.0787.92 ± 11.6492.81 ± 23.08Heart-switzerland98.89 ± 3.07106.19 ± 8.26118.09 ± 14.35133.59 ± 13.68130.40 ± 6.78129.62 ± 6.35127.68 ± 7.19111.78 ± 13.06111.48 ± 11.46137.20 ± 13.31Heart-va98.75 ± 1.41106.74 ± 8.88121.36 ± 6.10128.15 ± 7.90130.27 ± 9.54132.80 ± 8.65134.71 ± 9.31119.46 ± 7.43121.70 ± 8.19137.11 ± 9.38Heart-failure-clinical-records-dataset94.23 ± 2.0487.18 ± 8.4888.56 ± 11.78124.71 ± 13.39121.30 ± 1.49121.30 ± 1.49121.30 ± 1.49102.12 ± 11.4096.17 ± 18.4879.54 ± 16.67Hepatitis93.31 ± 3.5291.15 ± 25.26102.30 ± 29.81101.25 ± 17.5399.62 ± 19.3186.24 ± 47.2986.24 ± 47.2995.75 ± 28.21102.81 ± 31.56125.06 ± 18.48Hill-valley102.00 ± 2.42139.88 ± 9.03100.30 ± 0.67138.51 ± 5.04138.07 ± 9.33137.99 ± 10.62136.58 ± 10.0696.94 ± 3.6297.73 ± 3.97144.77 ± 6.83Hiv1625data58.63 ± 3.9951.93 ± 8.5164.10 ± 7.2364.25 ± 5.3165.88 ± 8.7060.27 ± 9.6058.62 ± 10.8947.93 ± 11.5257.93 ± 12.01107.86 ± 4.69Hiv746data60.56 ± 5.0152.90 ± 9.4673.66 ± 8.0167.27 ± 8.0363.74 ± 12.4959.78 ± 10.0659.09 ± 11.4550.21 ± 9.0351.82 ± 11.7586.83 ± 11.35Horse-colic89.18 ± 2.6297.44 ± 13.2670.82 ± 16.0198.76 ± 16.2682.97 ± 13.3880.16 ± 14.4578.96 ± 16.1990.78 ± 10.4987.85 ± 19.7986.54 ± 12.50Htru55.10 ± 3.6178.10 ± 3.5747.16 ± 5.9158.46 ± 3.99103.17 ± 0.83101.20 ± 1.13101.76 ± 1.0744.44 ± 4.8244.93 ± 4.7953.58 ± 4.38Hypothyroid93.63 ± 1.1572.24 ± 6.7419.79 ± 9.48107.70 ± 9.64100.96 ± 1.8899.96 ± 4.87100.12 ± 5.1181.22 ± 19.0487.35 ± 21.4071.52 ± 8.75Ibeacon-rssi-labeled97.31 ± 0.22107.16 ± 1.4794.52 ± 2.0389.22 ± 2.04115.45 ± 1.48113.31 ± 2.53112.23 ± 2.8391.45 ± 1.5391.23 ± 1.74139.03 ± 1.26Ilpd-indian-liver96.22 ± 2.81144.80 ± 8.99103.60 ± 6.40130.56 ± 11.37118.37 ± 0.65119.76 ± 3.59119.36 ± 5.1493.07 ± 3.1293.10 ± 3.39128.80 ± 6.22Image-segmentation65.23 ± 2.8669.31 ± 9.0345.94 ± 22.0353.06 ± 10.0354.39 ± 6.8153.90 ± 10.2554.96 ± 10.0139.77 ± 8.7642.53 ± 9.9197.18 ± 11.10Immunotherapy93.17 ± 5.7997.62 ± 21.8591.37 ± 30.22124.97 ± 54.46111.97 ± 4.45111.97 ± 4.45111.97 ± 4.4591.06 ± 29.5895.88 ± 31.6389.90 ± 37.42Impensdata83.51 ± 2.9370.69 ± 8.24100.00 ± 0.0090.49 ± 9.22108.93 ± 0.21108.93 ± 0.21108.93 ± 0.2180.25 ± 9.6485.97 ± 11.92108.35 ± 6.83In-vehicle-coupon-recommendation97.92 ± 0.1295.44 ± 1.6592.34 ± 1.19112.19 ± 2.23112.59 ± 2.38111.63 ± 2.38110.86 ± 2.41104.27 ± 1.75103.05 ± 2.88126.84 ± 1.42Indian95.31 ± 2.20144.46 ± 9.23105.80 ± 8.41131.74 ± 12.56116.21 ± 3.38117.66 ± 3.01117.66 ± 3.0194.53 ± 4.1594.71 ± 3.40129.12 ± 6.10Ionosphere62.23 ± 4.8181.13 ± 12.7859.31 ± 12.1375.60 ± 13.6548.69 ± 10.2843.50 ± 18.9339.50 ± 17.9060.43 ± 6.3459.15 ± 11.1088.58 ± 22.85Iris59.06 ± 8.7230.32 ± 17.4822.67 ± 26.1926.88 ± 26.9122.36 ± 23.5724.21 ± 26.1122.36 ± 23.5720.87 ± 18.6821.64 ± 19.9540.57 ± 28.95Jain45.29 ± 13.7141.53 ± 12.815.23 ± 16.550.68 ± 0.010.00 ± 0.000.00 ± 0.000.00 ± 0.0039.92 ± 11.0440.90 ± 10.5744.01 ± 25.18Jsbach-chorals-harmony81.57 ± 0.7950.79 ± 3.8454.21 ± 4.5645.20 ± 4.4760.15 ± 4.8854.68 ± 4.0751.89 ± 6.4845.78 ± 5.8050.58 ± 8.1462.55 ± 4.68Knowledge85.87 ± 4.1859.22 ± 16.3034.90 ± 22.5181.75 ± 13.8864.23 ± 21.3247.97 ± 29.5738.60 ± 29.5739.56 ± 17.9441.39 ± 16.9067.95 ± 17.68Lasvegastripadvisorreviews100.32 ± 0.25111.50 ± 3.13121.51 ± 3.80139.33 ± 3.30142.23 ± 2.77143.67 ± 3.93141.71 ± 4.01128.63 ± 4.12129.31 ± 4.45141.56 ± 2.71Leaf86.01 ± 1.1768.95 ± 10.6683.50 ± 8.86135.31 ± 2.22130.96 ± 3.21125.23 ± 4.31124.00 ± 4.6385.62 ± 6.0188.69 ± 5.82125.49 ± 3.94Led-display88.07 ± 0.4266.81 ± 3.9770.14 ± 4.3368.69 ± 4.8978.85 ± 5.7979.17 ± 5.3079.60 ± 5.0968.26 ± 4.3968.70 ± 4.07133.70 ± 1.05Lenses82.99 ± 20.68103.60 ± 12.8660.43 ± 78.7851.16 ± 53.7853.59 ± 72.6855.38 ± 78.0255.38 ± 78.0275.56 ± 66.8179.26 ± 70.3693.86 ± 84.38Letter90.04 ± 0.1272.31 ± 0.6547.09 ± 1.3029.17 ± 1.0532.64 ± 0.8028.83 ± 1.0726.93 ± 0.8456.10 ± 1.9158.02 ± 1.50131.19 ± 0.29Libras82.82 ± 2.2585.98 ± 11.7974.79 ± 12.3953.22 ± 10.1563.27 ± 6.8455.56 ± 8.5352.31 ± 8.1058.94 ± 6.8558.09 ± 6.86129.89 ± 5.00Low-res-spect79.46 ± 1.6276.21 ± 7.5768.59 ± 7.6069.06 ± 8.7256.34 ± 6.6255.72 ± 7.3953.10 ± 7.3043.58 ± 7.7246.68 ± 8.0088.79 ± 8.96Lung-cancer93.99 ± 4.8896.56 ± 31.00117.28 ± 29.32103.21 ± 56.95110.93 ± 42.92103.54 ± 41.58112.79 ± 45.74114.07 ± 24.85114.63 ± 25.64124.19 ± 22.45Lymphography87.03 ± 2.3470.67 ± 17.6291.72 ± 19.3688.84 ± 36.0767.15 ± 29.9072.22 ± 22.0277.76 ± 18.3075.23 ± 17.1175.45 ± 19.2294.63 ± 15.89Magic84.07 ± 1.78101.85 ± 4.2478.74 ± 4.8293.84 ± 5.4781.20 ± 5.8880.57 ± 4.7180.60 ± 3.8671.56 ± 5.3674.11 ± 5.40110.22 ± 8.88Mammographic79.84 ± 2.6182.69 ± 7.1272.33 ± 4.8294.63 ± 9.6883.20 ± 5.2684.13 ± 6.1983.62 ± 6.4173.77 ± 4.4775.48 ± 6.2385.30 ± 2.93Miniboone82.25 ± 1.18189.93 ± 1.9381.34 ± 7.1891.38 ± 4.3288.45 ± 7.4285.36 ± 6.4483.07 ± 5.9575.70 ± 4.3476.58 ± 4.2896.24 ± 4.74Molec-biol-promoter89.39 ± 4.0254.41 ± 28.4796.63 ± 20.34101.51 ± 23.1179.01 ± 27.8671.19 ± 34.5271.19 ± 34.5284.66 ± 19.6085.23 ± 19.65108.30 ± 20.19Molec-biol-splice96.61 ± 0.2143.89 ± 4.6847.20 ± 6.16109.44 ± 3.1564.55 ± 5.1264.20 ± 4.4165.59 ± 3.2964.73 ± 4.9465.33 ± 4.39109.16 ± 3.42Monks-179.68 ± 6.3585.58 ± 16.0018.01 ± 25.67107.12 ± 19.5377.61 ± 43.6772.46 ± 41.0276.16 ± 32.3043.91 ± 43.4536.89 ± 47.79101.45 ± 20.94Monks-2100.90 ± 2.75103.08 ± 4.5790.54 ± 20.46126.56 ± 16.70133.06 ± 10.97127.05 ± 21.06121.08 ± 19.5992.51 ± 20.2490.88 ± 13.73132.43 ± 7.25Monks-378.01 ± 7.2364.86 ± 11.4040.50 ± 31.3294.43 ± 30.5451.83 ± 37.0857.14 ± 33.6257.14 ± 33.6264.71 ± 32.5155.86 ± 24.1593.71 ± 8.47Mushroom67.75 ± 1.0065.00 ± 3.450.00 ± 0.000.03 ± 0.000.00 ± 0.000.00 ± 0.000.00 ± 0.000.29 ± 0.040.22 ± 0.0423.99 ± 4.20Musk-182.69 ± 2.5098.13 ± 14.2175.59 ± 17.2277.25 ± 12.7859.52 ± 15.2354.34 ± 11.7849.30 ± 12.2641.77 ± 10.9342.38 ± 10.08122.88 ± 14.88Musk-279.29 ± 2.02102.70 ± 5.9356.26 ± 8.9053.27 ± 6.3953.67 ± 8.4943.30 ± 8.5637.44 ± 8.1326.11 ± 9.6126.31 ± 10.9887.81 ± 5.55Newdiagnosis50.72 ± 3.0830.73 ± 7.330.00 ± 0.000.18 ± 0.020.00 ± 0.000.00 ± 0.000.00 ± 0.001.51 ± 0.171.10 ± 0.1094.98 ± 16.20Nursery89.23 ± 0.1650.15 ± 1.5210.57 ± 3.7547.61 ± 1.5322.67 ± 1.4219.67 ± 1.5417.60 ± 1.6027.33 ± 4.6331.85 ± 5.4792.21 ± 1.63Obesitydataset-raw-and-data-sinthetic80.81 ± 0.4472.54 ± 2.0436.38 ± 5.5964.50 ± 4.4748.72 ± 5.5543.66 ± 5.8441.54 ± 6.1333.04 ± 7.2034.19 ± 4.0787.58 ± 4.75Obs-network-dataset-2-aug2752.23 ± 2.2486.99 ± 8.342.58 ± 8.1514.70 ± 8.1626.00 ± 4.0926.00 ± 4.0926.00 ± 4.0926.01 ± 7.8121.90 ± 6.7352.27 ± 6.35Occupancy-data35.36 ± 3.1341.97 ± 5.2022.80 ± 6.3718.52 ± 5.6990.59 ± 4.8387.73 ± 5.6687.73 ± 5.6626.40 ± 5.8325.76 ± 5.8322.91 ± 6.78Occupancy-data235.32 ± 2.0746.60 ± 3.3217.76 ± 2.8117.59 ± 3.6599.54 ± 1.4992.95 ± 1.8892.95 ± 1.8817.73 ± 3.3417.88 ± 2.6419.26 ± 2.59Occupancy-data328.48 ± 3.3633.40 ± 4.7716.77 ± 1.6817.60 ± 3.81101.09 ± 1.5896.21 ± 1.8996.17 ± 1.8721.45 ± 3.1621.58 ± 2.9419.14 ± 3.05Old85.14 ± 0.5742.84 ± 3.7839.55 ± 6.2826.61 ± 5.3444.47 ± 4.3243.75 ± 5.8642.45 ± 5.5230.94 ± 5.8030.90 ± 6.9867.54 ± 4.81Online-shoppers-intention93.64 ± 0.25107.81 ± 3.4882.63 ± 2.45118.80 ± 1.82108.85 ± 0.19109.02 ± 0.45109.22 ± 0.5478.72 ± 2.3280.45 ± 4.5494.78 ± 4.01Oocytes-merluccius-nucleus-4d92.39 ± 2.57126.11 ± 8.3493.80 ± 4.53111.77 ± 7.42101.17 ± 6.6994.63 ± 5.9692.41 ± 7.3380.60 ± 6.8683.56 ± 8.49122.17 ± 9.10Oocytes-merluccius-states-2f63.53 ± 4.9079.46 ± 9.8161.47 ± 11.0261.45 ± 9.5259.47 ± 9.3058.27 ± 7.3555.66 ± 7.2953.41 ± 5.9754.99 ± 7.3788.04 ± 11.26Oocytes-trisopterus-nucleus-2f94.00 ± 2.91130.24 ± 8.2598.36 ± 10.84101.83 ± 11.8487.53 ± 8.5281.11 ± 8.9082.39 ± 6.9572.86 ± 8.5978.50 ± 8.77128.61 ± 9.79Oocytes-trisopterus-states-5b71.13 ± 6.1295.75 ± 8.1364.57 ± 8.7958.95 ± 12.7556.09 ± 12.2854.47 ± 10.4253.04 ± 9.1946.27 ± 9.3645.98 ± 10.0489.06 ± 6.25Optdigits89.77 ± 0.1542.09 ± 2.7043.53 ± 3.3717.13 ± 4.0077.23 ± 2.7874.66 ± 3.1374.66 ± 3.1318.30 ± 3.4316.68 ± 3.29127.34 ± 1.08Optical89.27 ± 0.2241.47 ± 3.0545.83 ± 2.9618.20 ± 3.4617.43 ± 3.3216.17 ± 4.4216.45 ± 3.9717.67 ± 3.1518.78 ± 3.43126.75 ± 1.13Ozone99.38 ± 0.13318.38 ± 16.15119.39 ± 9.97131.98 ± 8.63101.46 ± 0.10101.46 ± 0.10101.46 ± 0.10108.58 ± 14.16103.74 ± 12.33106.04 ± 6.86Page-blocks73.74 ± 2.7795.47 ± 6.4854.63 ± 3.5264.31 ± 5.0363.14 ± 6.3360.92 ± 6.8560.60 ± 6.9056.36 ± 6.0957.36 ± 4.9381.05 ± 3.97Parkingbirmingham49.50 ± 2.7956.99 ± 1.850.00 ± 0.0022.73 ± 2.9992.47 ± 4.1989.49 ± 4.5289.49 ± 4.5246.52 ± 1.7843.82 ± 2.020.00 ± 0.00Parkinsons80.16 ± 7.40124.32 ± 25.4598.43 ± 12.5936.91 ± 24.5978.74 ± 21.5368.60 ± 30.3962.99 ± 28.2763.95 ± 25.0760.75 ± 32.6183.06 ± 25.05Pasture85.52 ± 8.6170.69 ± 49.9262.84 ± 47.6170.45 ± 55.58145.90 ± 3.85145.90 ± 3.85145.90 ± 3.8563.21 ± 50.8065.25 ± 51.6691.28 ± 53.06Pbc87.75 ± 3.4688.39 ± 13.9984.26 ± 14.91129.68 ± 13.55127.52 ± 0.80127.52 ± 0.80127.52 ± 0.80101.73 ± 9.6998.13 ± 6.58106.95 ± 18.06Pen72.38 ± 0.3853.31 ± 2.2526.98 ± 1.9311.80 ± 1.59138.66 ± 0.69137.88 ± 0.77137.88 ± 0.7732.79 ± 1.9033.46 ± 1.55116.48 ± 1.48Pendigits71.98 ± 0.4049.64 ± 2.7128.47 ± 2.7911.05 ± 2.408.97 ± 2.478.09 ± 3.118.23 ± 3.2130.62 ± 1.9331.40 ± 1.82115.72 ± 1.90Pharynx101.25 ± 2.56108.18 ± 9.07100.00 ± 0.04139.58 ± 22.58115.08 ± 16.84119.68 ± 22.09126.61 ± 20.52115.62 ± 9.70119.82 ± 28.27201.32 ± 11.50Phishingwebsites87.95 ± 0.2146.34 ± 2.2237.25 ± 2.0628.94 ± 2.6547.16 ± 2.2544.97 ± 2.2343.78 ± 2.1132.02 ± 2.0632.09 ± 1.8067.07 ± 1.70Pima90.47 ± 3.5987.25 ± 8.4293.05 ± 10.72114.11 ± 9.22103.18 ± 8.64104.30 ± 8.58104.66 ± 7.2388.21 ± 5.9188.85 ± 7.35111.61 ± 10.35Pittsburg-bridges-rel-l89.50 ± 5.0889.37 ± 18.3097.38 ± 18.6089.14 ± 38.62102.52 ± 20.85101.05 ± 20.8092.90 ± 21.2099.94 ± 19.1096.28 ± 20.1696.57 ± 19.22Pittsburg-bridges-span89.67 ± 4.4084.73 ± 15.5294.81 ± 16.21113.97 ± 26.05104.74 ± 21.91105.75 ± 26.40105.75 ± 26.4091.20 ± 12.1191.85 ± 17.20120.35 ± 16.75Pittsburg-bridges-t-or-d95.87 ± 7.3088.10 ± 22.04106.33 ± 31.57106.73 ± 46.7698.57 ± 35.8788.59 ± 50.2984.28 ± 46.4183.77 ± 58.0789.37 ± 63.4498.71 ± 59.34Pittsburg-bridges-type92.48 ± 4.2988.86 ± 10.4191.56 ± 10.94101.39 ± 15.88109.49 ± 15.6198.66 ± 23.8798.12 ± 19.2990.60 ± 19.3295.59 ± 19.39107.61 ± 7.39Pittsburg-bridgesmaterial80.30 ± 5.5980.47 ± 16.7368.43 ± 21.1781.75 ± 38.2680.98 ± 15.6583.67 ± 14.8882.05 ± 34.0079.77 ± 19.5386.96 ± 19.6178.92 ± 11.95Planning100.69 ± 2.28109.01 ± 8.59100.00 ± 0.02127.40 ± 17.80118.23 ± 1.26120.18 ± 11.79128.81 ± 13.19124.95 ± 13.76133.30 ± 19.79135.77 ± 15.55Plant-margin95.45 ± 0.1253.64 ± 4.4597.15 ± 4.5970.29 ± 3.6758.80 ± 4.0355.28 ± 5.1654.59 ± 5.1850.54 ± 3.1751.14 ± 3.91136.54 ± 1.61Plant-shape93.38 ± 0.1294.55 ± 3.0598.45 ± 3.2881.84 ± 3.95101.54 ± 1.6193.41 ± 3.3989.74 ± 3.7973.32 ± 4.1774.65 ± 3.18135.89 ± 1.20Plant-texture95.78 ± 0.1570.64 ± 4.5993.55 ± 3.2661.49 ± 4.3457.93 ± 4.2553.86 ± 4.3052.90 ± 4.5051.11 ± 2.2252.36 ± 2.09139.65 ± 0.65Poker-hand-training-true100.00 ± 0.01100.01 ± 0.04112.92 ± 2.44136.31 ± 1.12120.55 ± 1.45122.21 ± 1.34123.81 ± 1.5899.37 ± 0.59100.33 ± 1.10132.74 ± 0.01Post-operative100.05 ± 3.10107.98 ± 7.4999.93 ± 0.31135.74 ± 14.49116.16 ± 4.71120.44 ± 8.71124.20 ± 12.12120.66 ± 17.21128.98 ± 20.86120.44 ± 8.71Primary-tumor95.96 ± 0.6792.08 ± 8.2799.11 ± 5.53114.86 ± 7.80109.30 ± 11.30111.22 ± 10.70112.01 ± 12.02102.94 ± 7.17104.08 ± 7.15127.72 ± 2.50Qsarbioconcentration100.25 ± 0.61102.46 ± 2.87103.67 ± 8.00142.45 ± 10.81115.78 ± 0.99119.26 ± 3.67125.03 ± 6.00108.72 ± 6.30110.13 ± 5.28120.21 ± 6.76Qsarbiodegradation89.51 ± 1.69100.09 ± 6.6080.51 ± 7.3685.38 ± 5.9179.18 ± 7.3178.18 ± 6.3979.99 ± 7.2369.56 ± 5.1170.77 ± 6.78101.76 ± 8.68Qualitative-bankruptcy32.35 ± 3.735.51 ± 10.5817.29 ± 22.811.33 ± 2.389.79 ± 21.049.79 ± 21.044.03 ± 12.744.33 ± 11.384.13 ± 11.3113.86 ± 22.80Ringnorm74.09 ± 2.0919.74 ± 2.9856.68 ± 0.7099.62 ± 3.2023.46 ± 3.6524.51 ± 3.3825.43 ± 3.7753.40 ± 4.6553.76 ± 2.92119.27 ± 1.63Risk-factors-cervical-cancer94.94 ± 1.15126.72 ± 13.0577.04 ± 17.5295.64 ± 19.78103.33 ± 0.35104.24 ± 5.0899.45 ± 11.4680.68 ± 15.4687.01 ± 18.1077.93 ± 21.08Robotnavigation55.25 ± 1.48107.44 ± 1.8810.13 ± 3.4359.46 ± 3.1354.79 ± 3.1551.52 ± 2.8649.12 ± 2.3955.42 ± 4.2855.26 ± 6.0486.18 ± 3.25Sapfile96.14 ± 1.48100.24 ± 9.39115.93 ± 15.89129.08 ± 8.60125.60 ± 11.63124.81 ± 8.63124.58 ± 10.95116.65 ± 10.66117.63 ± 13.94133.77 ± 14.89Sat60.61 ± 0.6069.58 ± 2.1756.20 ± 2.0348.23 ± 2.01135.02 ± 0.49133.93 ± 0.43133.93 ± 0.4346.77 ± 3.4449.11 ± 2.2899.66 ± 1.62Satelite60.65 ± 0.6169.61 ± 2.1655.92 ± 1.5948.11 ± 2.83135.03 ± 0.52133.86 ± 0.65133.86 ± 0.6546.50 ± 1.0448.25 ± 2.2899.38 ± 2.04Scadi87.09 ± 1.4361.49 ± 23.5962.84 ± 26.0266.13 ± 26.9779.45 ± 15.6070.12 ± 31.3361.52 ± 37.6267.24 ± 19.9167.29 ± 20.46104.98 ± 13.00Schillingdata84.94 ± 1.1262.10 ± 2.63100.00 ± 0.0091.64 ± 3.69107.37 ± 0.0997.69 ± 4.5485.26 ± 3.4171.97 ± 9.5285.21 ± 12.03107.98 ± 1.36Seeds58.92 ± 5.9344.58 ± 18.3645.28 ± 20.7740.64 ± 6.5538.07 ± 21.3038.07 ± 21.3038.07 ± 21.3030.45 ± 10.3129.24 ± 9.5770.34 ± 19.38Segment59.50 ± 1.2165.40 ± 2.8025.83 ± 4.3425.64 ± 2.8489.82 ± 3.7187.68 ± 3.1787.74 ± 3.2527.25 ± 3.4825.77 ± 2.6091.78 ± 3.52Seismic-bumps99.02 ± 0.35138.24 ± 9.17100.18 ± 0.57131.00 ± 9.20103.46 ± 0.01103.46 ± 0.01103.46 ± 0.01100.79 ± 3.96102.92 ± 4.94106.98 ± 4.05Semeion96.86 ± 0.0753.86 ± 5.5170.01 ± 3.4542.40 ± 4.2131.05 ± 3.7729.08 ± 2.4829.31 ± 2.5835.85 ± 4.0635.19 ± 4.68133.68 ± 0.39Setapprocesst195.41 ± 5.81130.37 ± 39.71120.89 ± 28.33123.25 ± 19.31128.77 ± 13.55118.98 ± 21.01122.56 ± 17.65116.55 ± 45.33116.16 ± 44.9698.22 ± 61.05Setapprocesst1099.97 ± 4.17154.43 ± 21.86131.27 ± 23.89127.99 ± 32.23122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22133.00 ± 42.66133.55 ± 36.13129.59 ± 14.46Setapprocesst1199.41 ± 4.33134.13 ± 42.31116.67 ± 34.31132.74 ± 23.21122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22121.08 ± 25.91114.69 ± 28.33137.85 ± 16.93Setapprocesst298.71 ± 4.31114.63 ± 26.5090.85 ± 49.65117.85 ± 48.89122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22118.79 ± 31.46113.52 ± 32.8577.95 ± 49.39Setapprocesst399.05 ± 4.05122.25 ± 23.50126.61 ± 30.35119.20 ± 27.49122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22117.27 ± 24.34118.37 ± 16.90143.18 ± 26.50Setapprocesst4100.78 ± 1.89146.77 ± 47.89141.95 ± 29.31133.29 ± 34.37116.99 ± 7.71116.99 ± 7.71116.99 ± 7.71136.51 ± 38.59136.70 ± 30.51113.48 ± 23.96Setapprocesst597.92 ± 5.06150.96 ± 26.50134.24 ± 31.44129.29 ± 27.69124.00 ± 9.11125.95 ± 11.41125.95 ± 11.41121.69 ± 19.30120.29 ± 18.53113.68 ± 55.27Setapprocesst698.36 ± 2.96114.55 ± 30.62116.30 ± 25.27122.44 ± 27.05122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22117.72 ± 37.58119.04 ± 33.16130.04 ± 35.03Setapprocesst798.65 ± 4.5598.83 ± 35.72118.41 ± 49.74121.67 ± 25.15122.05 ± 5.22122.05 ± 5.22122.05 ± 5.2297.17 ± 40.6298.87 ± 40.41143.69 ± 23.95Setapprocesst897.57 ± 3.64113.36 ± 28.07103.27 ± 30.86120.07 ± 43.69122.05 ± 5.22122.05 ± 5.22122.05 ± 5.22109.43 ± 40.65107.74 ± 43.23150.24 ± 22.05Setapprocesst998.89 ± 3.20117.62 ± 26.75110.54 ± 31.35133.62 ± 14.38122.05 ± 5.22122.05 ± 5.22122.05 ± 5.2297.88 ± 43.95108.83 ± 43.44147.47 ± 28.50Shillbiddingdataset68.39 ± 0.5855.61 ± 4.2819.11 ± 3.7028.07 ± 5.1421.45 ± 4.7520.85 ± 5.6718.40 ± 5.3715.59 ± 4.5015.05 ± 7.0753.18 ± 5.20Shuttle-landing-control105.16 ± 98.60166.55 ± 227.7862.34 ± 15.6584.84 ± 117.7210.69 ± 33.8010.69 ± 33.8010.69 ± 33.80102.61 ± 199.52106.67 ± 212.3590.69 ± 251.48Somervillehappinesssurvey201597.70 ± 6.04103.40 ± 12.6096.69 ± 20.43111.71 ± 21.10125.77 ± 16.48128.01 ± 15.36127.58 ± 18.64117.91 ± 19.08118.43 ± 20.09114.71 ± 26.82Sonar91.62 ± 2.77105.49 ± 14.10103.66 ± 12.8270.39 ± 20.51116.68 ± 9.43108.18 ± 16.25101.43 ± 18.6574.27 ± 29.1974.33 ± 29.17121.44 ± 18.90Soybean89.33 ± 0.6636.08 ± 16.5447.74 ± 8.7149.93 ± 10.1044.37 ± 13.9439.92 ± 11.5941.48 ± 12.2639.47 ± 11.3039.60 ± 9.78123.24 ± 2.12Spambase85.27 ± 0.7593.02 ± 3.9052.34 ± 4.6562.03 ± 3.7552.49 ± 3.6952.01 ± 4.3452.40 ± 3.6654.04 ± 3.5559.05 ± 14.7495.13 ± 4.38Speaker-accent91.78 ± 1.8394.38 ± 11.1388.13 ± 14.9372.21 ± 16.93109.16 ± 4.98103.82 ± 5.74103.82 ± 5.7467.13 ± 9.3472.38 ± 10.63119.12 ± 5.82Spect95.44 ± 7.39102.14 ± 40.33103.21 ± 21.86133.24 ± 23.52124.73 ± 22.08125.35 ± 24.79128.37 ± 18.79128.96 ± 32.08128.60 ± 34.38110.24 ± 19.55Spectf94.23 ± 3.5991.65 ± 27.1498.75 ± 23.79108.64 ± 30.80113.48 ± 11.61113.48 ± 11.6190.20 ± 38.9296.18 ± 37.1196.91 ± 27.49106.06 ± 16.70Statlog-australian-credit98.96 ± 0.48107.03 ± 5.64108.70 ± 11.95142.02 ± 5.56121.92 ± 3.24127.38 ± 11.14128.23 ± 10.04113.34 ± 6.96115.26 ± 7.19125.81 ± 11.36Statlog-german-credit97.75 ± 0.3191.18 ± 9.26101.98 ± 10.77123.48 ± 7.63106.29 ± 9.64103.65 ± 8.60103.51 ± 10.34111.43 ± 6.66108.76 ± 7.25117.63 ± 4.61Statlog-heart82.60 ± 3.3072.29 ± 14.0491.43 ± 18.0797.58 ± 22.2982.16 ± 12.9188.01 ± 19.8588.40 ± 22.0085.72 ± 11.7983.24 ± 17.25107.56 ± 12.07Statlog-image57.69 ± 1.1665.61 ± 2.8025.80 ± 4.3625.64 ± 2.8436.41 ± 2.8533.47 ± 3.4932.41 ± 3.3726.62 ± 3.5727.11 ± 4.3692.01 ± 3.11Statlog-landsat60.00 ± 1.2069.60 ± 3.8656.29 ± 3.3449.16 ± 4.4750.91 ± 3.9149.15 ± 3.5048.94 ± 4.1547.79 ± 2.4148.96 ± 4.4198.91 ± 2.10Statlog-shuttle75.97 ± 0.5255.93 ± 2.893.96 ± 2.305.32 ± 2.3711.79 ± 1.0810.62 ± 1.2710.45 ± 1.1812.91 ± 0.9712.44 ± 1.4454.45 ± 1.53Statlog-vehicle82.35 ± 1.47105.79 ± 3.2977.33 ± 7.4989.18 ± 7.1078.56 ± 6.6872.42 ± 4.8672.01 ± 4.4160.55 ± 4.4663.31 ± 6.52113.97 ± 6.04Steel-plates81.03 ± 1.1195.55 ± 4.1373.83 ± 4.8984.63 ± 4.1079.20 ± 4.5576.86 ± 3.7676.98 ± 4.7975.69 ± 4.3176.97 ± 4.56115.36 ± 4.37Synthetic-control71.91 ± 1.5433.55 ± 10.4543.08 ± 8.0926.76 ± 11.358.00 ± 10.336.00 ± 9.666.00 ± 9.6610.17 ± 6.459.86 ± 6.70101.50 ± 4.44Teaching94.76 ± 3.9196.13 ± 6.2498.63 ± 12.16101.23 ± 17.58113.25 ± 18.91106.11 ± 17.95105.23 ± 17.4994.76 ± 8.6297.42 ± 6.28126.23 ± 13.02Thoraricsurgery99.45 ± 0.57109.78 ± 18.45102.63 ± 4.26132.67 ± 17.50108.40 ± 0.00110.64 ± 3.62110.64 ± 3.62116.89 ± 12.79114.78 ± 17.81114.29 ± 5.75Thyroid68.47 ± 12.0226.24 ± 23.7748.57 ± 29.1827.35 ± 21.99101.08 ± 10.2998.28 ± 9.9898.28 ± 9.9829.59 ± 19.6129.79 ± 20.1453.58 ± 35.33Thyroid-train93.14 ± 1.5370.78 ± 7.6114.42 ± 13.66105.06 ± 8.8683.03 ± 6.0577.92 ± 5.4572.39 ± 6.2361.02 ± 11.3267.36 ± 7.9570.09 ± 8.43Tic-tac-toe96.73 ± 0.3990.24 ± 1.4147.77 ± 9.330.19 ± 0.0119.64 ± 15.4412.30 ± 13.805.20 ± 11.1628.86 ± 7.0026.86 ± 10.01115.14 ± 4.59Titanic88.41 ± 1.9189.75 ± 4.3084.88 ± 3.2884.21 ± 2.8699.13 ± 5.0198.09 ± 4.6298.09 ± 4.6286.21 ± 3.7886.83 ± 3.79101.12 ± 4.52Trains84.82 ± 15.4073.34 ± 94.6651.94 ± 84.0576.67 ± 77.4673.33 ± 94.6755.00 ± 88.5655.00 ± 88.5650.95 ± 67.2949.70 ± 68.53183.33 ± 0.00Transfusion97.89 ± 1.28101.29 ± 5.7693.54 ± 3.96123.86 ± 10.03116.61 ± 6.74121.88 ± 6.71124.21 ± 8.0092.25 ± 2.8792.58 ± 3.13114.18 ± 4.07Trial71.22 ± 2.9961.56 ± 12.590.00 ± 0.003.58 ± 10.4115.05 ± 13.2811.72 ± 12.3611.72 ± 12.3612.98 ± 13.2510.62 ± 13.250.00 ± 0.00Turkiye-student-evaluation94.38 ± 0.2765.14 ± 3.641.60 ± 3.3759.50 ± 4.9740.85 ± 2.3937.12 ± 3.0537.12 ± 3.050.40 ± 0.050.29 ± 0.041.60 ± 3.37Unbalanced99.74 ± 0.37235.69 ± 70.8799.98 ± 0.04124.01 ± 60.40100.62 ± 0.20108.95 ± 17.51115.38 ± 19.81111.48 ± 11.91113.44 ± 19.54100.62 ± 0.20Urbanlandcover82.34 ± 3.5766.22 ± 17.1965.92 ± 14.0868.91 ± 17.55136.97 ± 1.66136.97 ± 1.66136.97 ± 1.6660.94 ± 18.9161.47 ± 19.17106.26 ± 15.89Userknowledgemodeling84.76 ± 4.0654.15 ± 11.9036.41 ± 14.4670.68 ± 20.8178.40 ± 11.2163.64 ± 9.4462.85 ± 8.7539.38 ± 12.6136.40 ± 17.0461.92 ± 18.43Vehicle81.91 ± 1.54106.66 ± 3.7477.14 ± 7.6489.18 ± 7.10136.15 ± 2.49135.32 ± 3.04135.32 ± 3.0460.31 ± 5.7762.30 ± 8.02113.14 ± 6.02Vertebral-column-2classes85.52 ± 8.1090.62 ± 18.7178.76 ± 15.0489.82 ± 12.5179.79 ± 17.5582.11 ± 19.5281.50 ± 18.1168.63 ± 12.6768.66 ± 13.18108.06 ± 17.67Vertebral-column-3classes78.56 ± 3.9362.09 ± 8.6968.73 ± 9.5881.65 ± 9.5770.69 ± 13.7168.08 ± 15.7169.92 ± 13.9157.42 ± 7.7257.94 ± 7.7088.43 ± 12.33Veteran95.55 ± 1.99102.19 ± 14.1099.16 ± 13.68136.01 ± 16.45118.84 ± 0.89118.84 ± 0.89118.84 ± 0.89119.03 ± 25.78112.21 ± 25.61111.85 ± 15.81Vowel84.58 ± 1.1272.78 ± 4.9859.07 ± 7.839.27 ± 8.7757.14 ± 5.1843.98 ± 4.8539.05 ± 5.8136.65 ± 7.5833.50 ± 6.25122.24 ± 3.70Wall-following55.39 ± 1.48107.47 ± 1.499.26 ± 4.2559.65 ± 3.1057.51 ± 3.6853.11 ± 4.4250.98 ± 3.8257.18 ± 3.4656.64 ± 4.8585.73 ± 2.46Waveform-noise86.71 ± 1.0171.40 ± 3.0483.64 ± 2.5588.91 ± 2.1664.39 ± 3.6166.17 ± 2.9767.24 ± 3.2366.72 ± 3.8068.45 ± 3.21117.79 ± 3.50Waveform82.03 ± 0.7069.94 ± 2.7381.03 ± 2.7783.15 ± 3.6563.76 ± 3.2165.52 ± 3.1665.98 ± 3.2564.30 ± 3.0767.02 ± 2.96119.31 ± 2.07Wbc37.11 ± 6.9929.48 ± 13.0249.19 ± 5.0738.62 ± 12.7728.23 ± 16.1528.23 ± 16.1525.70 ± 18.4839.65 ± 7.4337.50 ± 9.7862.02 ± 9.71Wdbc58.62 ± 4.9349.24 ± 21.8648.65 ± 21.0340.40 ± 10.17126.24 ± 0.73126.24 ± 0.73126.24 ± 0.7333.32 ± 11.3435.81 ± 14.0065.33 ± 10.09Weathernominal104.96 ± 33.7191.92 ± 35.5189.15 ± 79.96112.45 ± 59.8969.39 ± 73.2694.39 ± 88.1165.79 ± 91.0965.58 ± 89.1365.63 ± 89.79125.02 ± 96.40Weathernumeric120.03 ± 26.6699.85 ± 31.3456.97 ± 76.3059.08 ± 76.8969.39 ± 73.26105.66 ± 96.79105.66 ± 96.7960.65 ± 85.0661.50 ± 85.55125.02 ± 96.40Website-phishingdata79.99 ± 1.0664.11 ± 4.2950.91 ± 5.6557.76 ± 5.7771.44 ± 3.1670.14 ± 3.0066.14 ± 5.5658.22 ± 5.1357.40 ± 6.1580.60 ± 3.65Wholesalecustomersdata63.07 ± 4.9863.19 ± 10.8561.88 ± 9.3272.69 ± 15.03121.49 ± 0.83121.49 ± 0.83121.49 ± 0.8354.15 ± 9.9054.77 ± 10.0364.87 ± 13.39Wifi-localization59.41 ± 1.2919.68 ± 4.0326.37 ± 2.7520.62 ± 5.5074.62 ± 4.5772.06 ± 4.8572.06 ± 4.8521.39 ± 2.9821.94 ± 3.1874.44 ± 8.05Wilt98.84 ± 1.18121.71 ± 6.0055.88 ± 7.46100.06 ± 5.77101.22 ± 1.27101.22 ± 1.27101.22 ± 1.2754.61 ± 11.1951.12 ± 9.33104.16 ± 1.59Wine-quality-red89.86 ± 1.7397.64 ± 3.22101.93 ± 3.86104.40 ± 4.03107.55 ± 3.49107.00 ± 3.74106.82 ± 3.7892.25 ± 3.0892.41 ± 3.62118.72 ± 3.95Wine-quality-white92.27 ± 0.45103.72 ± 1.36102.88 ± 3.21101.09 ± 3.72112.80 ± 3.01111.66 ± 3.27111.33 ± 3.5193.01 ± 1.4993.72 ± 1.18126.72 ± 2.49Wine58.31 ± 4.3419.42 ± 21.3637.09 ± 22.7732.53 ± 22.188.20 ± 17.2912.45 ± 20.0512.45 ± 20.0519.20 ± 17.0019.17 ± 17.7682.06 ± 17.14Yamilnaduelectricty97.44 ± 0.59100.01 ± 0.01115.13 ± 0.78128.98 ± 1.07140.56 ± 0.41140.44 ± 0.42140.53 ± 0.46100.05 ± 0.02100.08 ± 0.02139.95 ± 0.85Yeast93.16 ± 0.6485.84 ± 2.2596.02 ± 4.56110.39 ± 2.76101.06 ± 5.16100.97 ± 5.39100.78 ± 5.6985.35 ± 2.5886.19 ± 2.76124.22 ± 3.50Youtobe-kabita-preprocessing94.81 ± 0.39106.30 ± 0.92101.09 ± 1.73114.12 ± 1.29120.91 ± 2.29121.97 ± 2.09122.63 ± 2.0194.26 ± 0.7794.43 ± 0.79125.61 ± 1.86Youtobe-nisha-preprocessing94.07 ± 0.26102.51 ± 1.2099.08 ± 1.55112.16 ± 1.84117.86 ± 2.11119.07 ± 2.06119.47 ± 2.1893.15 ± 0.9193.46 ± 0.93126.67 ± 1.21Z-alizadehsani96.14 ± 1.0785.75 ± 15.5295.62 ± 20.20101.44 ± 15.72118.38 ± 1.28118.38 ± 1.28118.38 ± 1.2882.76 ± 19.4285.13 ± 15.70119.29 ± 10.99Zoo69.25 ± 4.0417.28 ± 26.7729.70 ± 31.0818.10 ± 20.9124.24 ± 31.9624.24 ± 31.9624.24 ± 31.9621.01 ± 21.7320.30 ± 22.4082.11 ± 16.46Average rrse (rank)83.25 (5)85.51 (6)70.59 (2)80.47 (4)90.03 (9)88.26 (8)87.19 (7)69.93 (1)70.66 (3)98.86 (10)Average rrse std (rank)3.40 (1)12.11 (5)12.26 (6)13.81 (9)9.34 (2)10.67 (3)11.056 (4)13.39 (8)13.99 (10)12.36 (7)Then, we used Friedman and ANOVA tests to compare the above 6 performance metrics of all models among 263 datasets, and the tests proved that all algorithms differed in both the distribution and the mean value at 95% confidence level (see Table5). Then, the Tukey HSD test is employed to determine which pair has significant differences, and the detailed result is presented in Tables 12–17, where the result underlined means the corresponding pair is remarkably different.Table 12
Comparison of accuracy.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB1.0J480.140.01KNN0.70.171.0SVM11.01.00.010.15SVM21.01.00.030.351.0SVM31.01.00.060.481.01.0ANN10.290.031.01.00.030.090.14ANN20.320.041.01.00.030.10.171.0OneR0.010.150.00.00.170.060.030.00.0Table 13
Comparison of kappa statistic.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB0.11J480.00.06KNN0.00.590.99SVM11.00.120.00.0SVM21.00.560.00.01.0SVM30.970.820.00.010.971.0ANN10.00.061.00.980.00.00.0ANN20.00.071.00.990.00.00.01.0OneR1.00.020.00.01.00.930.740.00.0Table 14
Comparison of root mean squared error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB1.0J480.030.01KNN1.01.00.13SVM10.540.790.00.22SVM20.830.960.00.511.0SVM30.950.990.00.711.01.0ANN10.020.011.00.10.00.00.0ANN20.040.011.00.160.00.00.01.0OneR0.00.010.00.00.590.280.140.00.0Table 15
Comparison of mean absolute error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB0.0J480.00.04KNN0.00.11.0SVM10.00.650.940.99SVM20.00.450.991.01.0SVM30.00.31.01.01.01.0ANN10.00.041.01.00.950.991.0ANN20.00.031.01.00.910.981.01.0OneR0.01.00.090.20.840.670.50.10.07Table 16
Comparison of relative absolute error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB0.0J480.00.0KNN0.00.01.0SVM10.00.00.840.94SVM20.00.00.970.991.0SVM30.00.00.991.01.01.0ANN10.00.01.01.00.710.910.97ANN20.00.01.01.00.630.860.941.0OneR0.00.930.00.00.270.110.060.00.0Table 17
Comparison of root relative squared error.
RNNBJ48KNNSVM1SVM2SVM3ANN1ANN2NB1.0J480.00.0KNN1.00.840.05SVM10.480.920.00.07SVM20.851.00.00.281.0SVM30.961.00.00.51.01.0ANN10.00.01.00.030.00.00.0ANN20.00.01.00.060.00.00.01.0OneR0.00.00.00.00.130.030.010.00.0Some findings of RN are summarized briefly as follows:(1)
Figure3 shows that the performance of RN is not significantly different from other prestigious classification algorithms.(2)
As for average accuracy, the most important performance indicator, Table5 shows that RN (73.56%) significantly outperforms OneR (67.16%) and is not statistically different from other algorithms (Figure 4(a)).(3)
For kappa statistic, RN is different from ANN1, ANN2, J48, and KNN (Figure4(b)); however, all algorithms range from 0.41 to 0.60 (except RN); therefore, they are in the same level: moderate.(4)
About root mean squared error (RMSE) and root relative squared error (RRSE), RN outperforms OneR and lags behind ANN1, ANN2, and J48 (Figures4(c) and 4(f)).(5)
On mean absolute error (MAE) and relative absolute error (RAE), RN is weaker than others (Figures4(d) and 4(e)).(6)
With regard to running time, RN works faster than ANN1, ANN2, SVM1, SVM2, and SVM3, while it works slower than the remaining algorithms (Table5).Figure 4
Tukey test results of 6 performance metrics.
(a)(b)(c)(d)(e)(f)In a word, though the proposed algorithm is simple and straightforward, it still shows the competitive performance with the above prestigious classification algorithms on core indicators.


## 5. Discussion

### 5.1. RN vs Ensemble Algorithms

As we all know, there are many powerful ensemble algorithms in the field of classification, such as random forest, random tree, and so on. However, these ensemble methods use multiple learning algorithms to achieve better predictive performance than any of the constituent learning algorithms alone. Therefore, it is not fair to compare ensemble methods with recall network, a simple and basic algorithm with a single classifier. it is not fair to compare ensemble methods with recall network, a simple and basic algorithm with a single classifier.


### 5.2. RN vs LSTM

In this paper, ANN shows the best performance on the classification task, but long short-term memory (LSTM) is a next-generation recurrent neural network and is better than traditional neural networks, let alone with the RN algorithm. Though the operation mechanism of both LSTM and RN is based on memory, the former obviously employs much more nodes and layers and has more complex structure and therefore takes a much longer running time, so the comparison with LSTM is not to be considered in this work.


### 5.3. Statistic Tests

In this paper, we employ three types of statistical methods. Friedman test is used to determine distribution differences of the result of the compared algorithms in the six evaluation indicators, while ANOVA is used to determine the mean difference of that. Then, we use the Tukey HSD test to find which pair has significant mean differences.


## 5.1. RN vs Ensemble Algorithms

As we all know, there are many powerful ensemble algorithms in the field of classification, such as random forest, random tree, and so on. However, these ensemble methods use multiple learning algorithms to achieve better predictive performance than any of the constituent learning algorithms alone. Therefore, it is not fair to compare ensemble methods with recall network, a simple and basic algorithm with a single classifier. it is not fair to compare ensemble methods with recall network, a simple and basic algorithm with a single classifier.


## 5.2. RN vs LSTM

In this paper, ANN shows the best performance on the classification task, but long short-term memory (LSTM) is a next-generation recurrent neural network and is better than traditional neural networks, let alone with the RN algorithm. Though the operation mechanism of both LSTM and RN is based on memory, the former obviously employs much more nodes and layers and has more complex structure and therefore takes a much longer running time, so the comparison with LSTM is not to be considered in this work.


## 5.3. Statistic Tests

In this paper, we employ three types of statistical methods. Friedman test is used to determine distribution differences of the result of the compared algorithms in the six evaluation indicators, while ANOVA is used to determine the mean difference of that. Then, we use the Tukey HSD test to find which pair has significant mean differences.


## 6. Conclusions

In this paper, a simple and effective classification algorithm is designed as a memory network that stores, marks, and then retrieves the previous paths. Though its structure is similar to artificial neural networks, and the memory mechanism is similar to memory networks, hierarchical temporal memory, and ant colony optimization, the proposed algorithm is still a naive and distinctive algorithm, and more interpretative than others.To investigate the capabilities of this newly developed method in the realm of dataset classification, the RN is compared with other classic approaches on benchmark problems in Weka, and experiments show that this simple algorithm has no statistical difference with ANN, J48, KNN, and SVM in accuracy, and all compared algorithms are in the same level on kappa statistic except OneR, though RN performs poorly on RMSE, MAE, RAE, and RRSE.There are several possible extensions to this work. On the one hand, the classification performance of RN can be improved further, since it is sensitive to the order of layers, so it could be archiving higher performance by exhaustively exploring all possible RN structures and then choosing the best one to fulfill the prediction; moreover, the technique of ensemble learning is also worthy to be used on bagging and boosting recall networks. On the other hand, RN can be also applied in other fields, for example, clustering based on RN could use Hamming distance to partition the routes into small groups.



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*Source: 9374946-2022-08-13.xml*