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mouseType

active ARFF Publicly available Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Data from the RSCTC 2010 Discovery Challenge. All datasets contain between 100 and 400 samples, characterized by values of 20,000 - 65,000 attributes. Samples are assigned to several (2-10) classes. All attributes are numeric and represent measurements from DNA microarrays. Attributes are normalized in some way - in test data you should expect similar distributions of attribute values as in the example data. Source: http://tunedit.org/challenge/RSCTC-2010-A

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0 missing
Var21508numeric182 unique values
0 missing
Var21764numeric180 unique values
0 missing
Var22020numeric162 unique values
0 missing
Var22276numeric162 unique values
0 missing
Var22532numeric168 unique values
0 missing
Var22788numeric187 unique values
0 missing
Var23044numeric150 unique values
0 missing
Var23300numeric146 unique values
0 missing
Var23556numeric144 unique values
0 missing
Var23812numeric149 unique values
0 missing
Var24068numeric154 unique values
0 missing
Var24324numeric172 unique values
0 missing
Var24580numeric159 unique values
0 missing
Var24836numeric197 unique values
0 missing
Var25092numeric149 unique values
0 missing
Var25348numeric155 unique values
0 missing
Var25604numeric162 unique values
0 missing
Var25860numeric153 unique values
0 missing
Var26116numeric205 unique values
0 missing
Var26372numeric166 unique values
0 missing
Var26628numeric134 unique values
0 missing
Var26884numeric152 unique values
0 missing
Var27140numeric161 unique values
0 missing
Var27396numeric143 unique values
0 missing
Var27652numeric144 unique values
0 missing
Var27908numeric156 unique values
0 missing
Var28164numeric177 unique values
0 missing
Var28420numeric161 unique values
0 missing
Var28676numeric193 unique values
0 missing
Var28932numeric193 unique values
0 missing
Var29188numeric167 unique values
0 missing
Var29444numeric185 unique values
0 missing
Var29700numeric160 unique values
0 missing
Var29956numeric164 unique values
0 missing
Var30212numeric191 unique values
0 missing
Var30468numeric155 unique values
0 missing
Var30724numeric179 unique values
0 missing
Var30980numeric160 unique values
0 missing
Var31236numeric201 unique values
0 missing
Var31492numeric178 unique values
0 missing
Var31748numeric180 unique values
0 missing
Var32004numeric171 unique values
0 missing
Var32260numeric176 unique values
0 missing
Var32516numeric145 unique values
0 missing
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0 missing
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0 missing
Var33284numeric180 unique values
0 missing
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0 missing
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0 missing
Var34052numeric164 unique values
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0 missing
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0 missing
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0 missing
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0 missing
Var35588numeric156 unique values
0 missing
Var35844numeric156 unique values
0 missing
Var36100numeric182 unique values
0 missing
Var36356numeric155 unique values
0 missing
Var36612numeric172 unique values
0 missing
Var36868numeric156 unique values
0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
Var39428numeric196 unique values
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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Var43524numeric152 unique values
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Var43780numeric123 unique values
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Var44036numeric153 unique values
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0 missing
Var44548numeric153 unique values
0 missing
Var44804numeric139 unique values
0 missing
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0 missing
Var5numeric160 unique values
0 missing
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0 missing
Var517numeric186 unique values
0 missing
Var773numeric135 unique values
0 missing
Var1029numeric190 unique values
0 missing
Var1285numeric154 unique values
0 missing
Var1541numeric135 unique values
0 missing
Var1797numeric151 unique values
0 missing
Var2053numeric176 unique values
0 missing
Var2309numeric183 unique values
0 missing
Var2565numeric145 unique values
0 missing
Var2821numeric173 unique values
0 missing
Var3077numeric147 unique values
0 missing
Var3333numeric137 unique values
0 missing
Var3589numeric159 unique values
0 missing
Var3845numeric188 unique values
0 missing
Var4101numeric186 unique values
0 missing
Var4357numeric172 unique values
0 missing
Var4613numeric157 unique values
0 missing
Var4869numeric140 unique values
0 missing
Var5125numeric145 unique values
0 missing
Var5381numeric149 unique values
0 missing
Var5637numeric166 unique values
0 missing
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0 missing
Var6149numeric165 unique values
0 missing
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0 missing
Var6661numeric173 unique values
0 missing
Var6917numeric154 unique values
0 missing
Var7173numeric177 unique values
0 missing
Var7429numeric151 unique values
0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
Var9733numeric194 unique values
0 missing
Var9989numeric194 unique values
0 missing
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0 missing
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Var10757numeric154 unique values
0 missing
Var11013numeric178 unique values
0 missing
Var11269numeric154 unique values
0 missing
Var11525numeric148 unique values
0 missing
Var11781numeric194 unique values
0 missing
Var12037numeric153 unique values
0 missing
Var12293numeric158 unique values
0 missing
Var12549numeric198 unique values
0 missing
Var12805numeric170 unique values
0 missing
Var13061numeric186 unique values
0 missing
Var13317numeric176 unique values
0 missing
Var13573numeric162 unique values
0 missing
Var13829numeric170 unique values
0 missing
Var14085numeric169 unique values
0 missing
Var14341numeric195 unique values
0 missing
Var14597numeric156 unique values
0 missing
Var14853numeric199 unique values
0 missing
Var15109numeric153 unique values
0 missing
Var15365numeric145 unique values
0 missing
Var15621numeric183 unique values
0 missing
Var15877numeric163 unique values
0 missing
Var16133numeric173 unique values
0 missing
Var16389numeric150 unique values
0 missing
Var16645numeric154 unique values
0 missing
Var16901numeric158 unique values
0 missing
Var17157numeric167 unique values
0 missing
Var17413numeric193 unique values
0 missing
Var17669numeric169 unique values
0 missing
Var17925numeric143 unique values
0 missing
Var18181numeric166 unique values
0 missing
Var18437numeric158 unique values
0 missing
Var18693numeric171 unique values
0 missing
Var18949numeric192 unique values
0 missing
Var19205numeric183 unique values
0 missing
Var19461numeric168 unique values
0 missing
Var19717numeric151 unique values
0 missing
Var19973numeric166 unique values
0 missing
Var20229numeric199 unique values
0 missing
Var20485numeric175 unique values
0 missing
Var20741numeric135 unique values
0 missing
Var20997numeric157 unique values
0 missing
Var21253numeric196 unique values
0 missing
Var21509numeric162 unique values
0 missing
Var21765numeric174 unique values
0 missing
Var22021numeric149 unique values
0 missing
Var22277numeric129 unique values
0 missing
Var22533numeric169 unique values
0 missing
Var22789numeric145 unique values
0 missing
Var23045numeric150 unique values
0 missing
Var23301numeric128 unique values
0 missing
Var23557numeric153 unique values
0 missing
Var23813numeric159 unique values
0 missing
Var24069numeric148 unique values
0 missing
Var24325numeric153 unique values
0 missing
Var24581numeric154 unique values
0 missing
Var24837numeric144 unique values
0 missing
Var25093numeric155 unique values
0 missing
Var25349numeric152 unique values
0 missing
Var25605numeric151 unique values
0 missing
Var25861numeric192 unique values
0 missing
Var26117numeric155 unique values
0 missing
Var26373numeric184 unique values
0 missing
Var26629numeric163 unique values
0 missing
Var26885numeric185 unique values
0 missing
Var27141numeric163 unique values
0 missing
Var27397numeric180 unique values
0 missing
Var27653numeric172 unique values
0 missing
Var27909numeric193 unique values
0 missing
Var28165numeric166 unique values
0 missing
Var28421numeric157 unique values
0 missing
Var28677numeric186 unique values
0 missing
Var28933numeric147 unique values
0 missing
Var29189numeric182 unique values
0 missing
Var29445numeric163 unique values
0 missing
Var29701numeric160 unique values
0 missing
Var29957numeric167 unique values
0 missing
Var30213numeric170 unique values
0 missing
Var30469numeric150 unique values
0 missing
Var30725numeric141 unique values
0 missing
Var30981numeric205 unique values
0 missing
Var31237numeric191 unique values
0 missing
Var31493numeric180 unique values
0 missing
Var31749numeric155 unique values
0 missing
Var32005numeric167 unique values
0 missing
Var32261numeric146 unique values
0 missing
Var32517numeric155 unique values
0 missing
Var32773numeric166 unique values
0 missing
Var33029numeric153 unique values
0 missing
Var33285numeric171 unique values
0 missing
Var33541numeric160 unique values
0 missing
Var33797numeric159 unique values
0 missing
Var34053numeric201 unique values
0 missing
Var34309numeric203 unique values
0 missing
Var34565numeric174 unique values
0 missing
Var34821numeric145 unique values
0 missing
Var35077numeric163 unique values
0 missing
Var35333numeric137 unique values
0 missing
Var35589numeric144 unique values
0 missing
Var35845numeric139 unique values
0 missing
Var36101numeric167 unique values
0 missing
Var36357numeric181 unique values
0 missing
Var36613numeric141 unique values
0 missing
Var36869numeric150 unique values
0 missing
Var37125numeric184 unique values
0 missing
Var37381numeric154 unique values
0 missing
Var37637numeric138 unique values
0 missing
Var37893numeric167 unique values
0 missing
Var38149numeric189 unique values
0 missing
Var38405numeric177 unique values
0 missing
Var38661numeric166 unique values
0 missing
Var38917numeric189 unique values
0 missing
Var39173numeric158 unique values
0 missing
Var39429numeric179 unique values
0 missing
Var39685numeric155 unique values
0 missing
Var39941numeric161 unique values
0 missing
Var40197numeric176 unique values
0 missing
Var40453numeric148 unique values
0 missing
Var40709numeric178 unique values
0 missing
Var40965numeric159 unique values
0 missing
Var41221numeric148 unique values
0 missing
Var41477numeric159 unique values
0 missing
Var41733numeric156 unique values
0 missing
Var41989numeric168 unique values
0 missing
Var42245numeric182 unique values
0 missing
Var42501numeric161 unique values
0 missing
Var42757numeric134 unique values
0 missing
Var43013numeric141 unique values
0 missing
Var43269numeric189 unique values
0 missing
Var43525numeric150 unique values
0 missing
Var43781numeric176 unique values
0 missing
Var44037numeric193 unique values
0 missing
Var44293numeric161 unique values
0 missing
Var44549numeric154 unique values
0 missing
Var44805numeric147 unique values
0 missing
Var45061numeric164 unique values
0 missing
Var6numeric158 unique values
0 missing
Var262numeric189 unique values
0 missing
Var518numeric165 unique values
0 missing
Var774numeric178 unique values
0 missing
Var1030numeric171 unique values
0 missing
Var1286numeric129 unique values
0 missing
Var1542numeric190 unique values
0 missing
Var1798numeric158 unique values
0 missing
Var2054numeric156 unique values
0 missing
Var2310numeric148 unique values
0 missing
Var2566numeric147 unique values
0 missing
Var2822numeric159 unique values
0 missing
Var3078numeric156 unique values
0 missing
Var3334numeric183 unique values
0 missing
Var3590numeric186 unique values
0 missing
Var3846numeric155 unique values
0 missing
Var4102numeric154 unique values
0 missing
Var4358numeric147 unique values
0 missing
Var4614numeric177 unique values
0 missing
Var4870numeric149 unique values
0 missing
Var5126numeric155 unique values
0 missing
Var5382numeric137 unique values
0 missing
Var5638numeric165 unique values
0 missing
Var5894numeric188 unique values
0 missing
Var6150numeric187 unique values
0 missing
Var6406numeric197 unique values
0 missing
Var6662numeric149 unique values
0 missing
Var6918numeric166 unique values
0 missing
Var7174numeric164 unique values
0 missing
Var7430numeric156 unique values
0 missing
Var7686numeric190 unique values
0 missing
Var7942numeric148 unique values
0 missing
Var8198numeric194 unique values
0 missing
Var8454numeric153 unique values
0 missing
Var8710numeric164 unique values
0 missing
Var8966numeric133 unique values
0 missing
Var9222numeric180 unique values
0 missing
Var9478numeric178 unique values
0 missing
Var9734numeric171 unique values
0 missing
Var9990numeric185 unique values
0 missing
Var10246numeric154 unique values
0 missing
Var10502numeric154 unique values
0 missing
Var10758numeric190 unique values
0 missing
Var11014numeric180 unique values
0 missing
Var11270numeric153 unique values
0 missing
Var11526numeric150 unique values
0 missing
Var11782numeric156 unique values
0 missing
Var12038numeric157 unique values
0 missing
Var12294numeric188 unique values
0 missing
Var12550numeric193 unique values
0 missing
Var12806numeric152 unique values
0 missing
Var13062numeric185 unique values
0 missing
Var13318numeric183 unique values
0 missing
Var13574numeric184 unique values
0 missing
Var13830numeric161 unique values
0 missing
Var14086numeric158 unique values
0 missing
Var14342numeric174 unique values
0 missing
Var14598numeric176 unique values
0 missing
Var14854numeric143 unique values
0 missing
Var15110numeric153 unique values
0 missing
Var15366numeric168 unique values
0 missing
Var15622numeric195 unique values
0 missing
Var15878numeric164 unique values
0 missing
Var16134numeric152 unique values
0 missing
Var16390numeric152 unique values
0 missing
Var16646numeric162 unique values
0 missing
Var16902numeric157 unique values
0 missing
Var17158numeric156 unique values
0 missing
Var17414numeric195 unique values
0 missing
Var17670numeric151 unique values
0 missing
Var17926numeric188 unique values
0 missing
Var18182numeric167 unique values
0 missing
Var18438numeric149 unique values
0 missing
Var18694numeric144 unique values
0 missing
Var18950numeric177 unique values
0 missing
Var19206numeric172 unique values
0 missing
Var19462numeric152 unique values
0 missing
Var19718numeric161 unique values
0 missing
Var19974numeric159 unique values
0 missing
Var20230numeric154 unique values
0 missing
Var20486numeric182 unique values
0 missing
Var20742numeric160 unique values
0 missing
Var20998numeric173 unique values
0 missing
Var21254numeric163 unique values
0 missing
Var21510numeric143 unique values
0 missing
Var21766numeric200 unique values
0 missing
Var22022numeric149 unique values
0 missing
Var22278numeric145 unique values
0 missing
Var22534numeric174 unique values
0 missing
Var22790numeric167 unique values
0 missing
Var23046numeric182 unique values
0 missing
Var23302numeric178 unique values
0 missing
Var23558numeric160 unique values
0 missing
Var23814numeric144 unique values
0 missing
Var24070numeric149 unique values
0 missing
Var24326numeric143 unique values
0 missing
Var24582numeric160 unique values
0 missing
Var24838numeric169 unique values
0 missing
Var25094numeric173 unique values
0 missing
Var25350numeric186 unique values
0 missing
Var25606numeric172 unique values
0 missing
Var25862numeric198 unique values
0 missing
Var26118numeric171 unique values
0 missing
Var26374numeric177 unique values
0 missing
Var26630numeric154 unique values
0 missing
Var26886numeric188 unique values
0 missing
Var27142numeric181 unique values
0 missing
Var27398numeric161 unique values
0 missing
Var27654numeric146 unique values
0 missing
Var27910numeric194 unique values
0 missing
Var28166numeric174 unique values
0 missing
Var28422numeric158 unique values
0 missing
Var28678numeric159 unique values
0 missing
Var28934numeric190 unique values
0 missing

107 properties

214
Number of instances (rows) of the dataset.
45102
Number of attributes (columns) of the dataset.
7
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
45101
Number of numeric attributes.
1
Number of nominal attributes.
0.28
Second quartile (Median) of skewness among attributes of the numeric type.
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
6.32
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0.11
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
210.76
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
7
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
Third quartile of entropy among attributes.
0.61
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
7
The maximum number of distinct values among attributes of the nominal type.
-4.45
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
1.21
Third quartile of kurtosis among attributes of the numeric type.
0.15
Average class difference between consecutive instances.
0.25
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
11.37
Maximum skewness among attributes of the numeric type.
0.04
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
3.02
Third quartile of means among attributes of the numeric type.
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.5
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.55
Maximum standard deviation of attributes of the numeric type.
6.07
Percentage of instances belonging to the least frequent class.
100
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.49
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.61
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.38
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
13
Number of instances belonging to the least frequent class.
0
Percentage of nominal attributes.
0.63
Third quartile of skewness among attributes of the numeric type.
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.25
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.97
Mean kurtosis among attributes of the numeric type.
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
0.19
Third quartile of standard deviation of attributes of the numeric type.
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.5
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
2.39
Mean of means among attributes of the numeric type.
0.43
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.03
First quartile of kurtosis among attributes of the numeric type.
0.75
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.49
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.61
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.38
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.46
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1.6
First quartile of means among attributes of the numeric type.
First quartile of mutual information between the nominal attributes and the target attribute.
0.44
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.25
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
-0.11
First quartile of skewness among attributes of the numeric type.
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.5
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
7
Average number of distinct values among the attributes of the nominal type.
0.08
First quartile of standard deviation of attributes of the numeric type.
0.75
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.49
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.77
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.38
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.25
Mean skewness among attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.44
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.39
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
32.24
Percentage of instances belonging to the most frequent class.
0.16
Mean standard deviation of attributes of the numeric type.
0.49
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
2.58
Entropy of the target attribute values.
0.52
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
69
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
2.12
Second quartile (Median) of means among attributes of the numeric type.
0.75
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.69
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.44
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.61
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
152.29
Maximum kurtosis among attributes of the numeric type.
1.06
Minimum of means among attributes of the numeric type.

6 tasks

10 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
1 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Decision
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task