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ovarianTumour

ovarianTumour

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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Var47619numeric196 unique values
0 missing
Var47875numeric143 unique values
0 missing
Var48131numeric235 unique values
0 missing
Var48387numeric228 unique values
0 missing
Var48643numeric193 unique values
0 missing
Var48899numeric218 unique values
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Var49155numeric174 unique values
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Var49411numeric175 unique values
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Var49667numeric201 unique values
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0 missing
Var50435numeric150 unique values
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Var50947numeric227 unique values
0 missing
Var51203numeric177 unique values
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0 missing
Var51715numeric271 unique values
0 missing
Var51971numeric239 unique values
0 missing
Var52227numeric241 unique values
0 missing
Var52483numeric252 unique values
0 missing
Var52739numeric189 unique values
0 missing
Var52995numeric210 unique values
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0 missing
Var53507numeric187 unique values
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Var53763numeric246 unique values
0 missing
Var54019numeric228 unique values
0 missing
Var54275numeric222 unique values
0 missing
Var54531numeric198 unique values
0 missing
Var4numeric261 unique values
0 missing
Var260numeric263 unique values
0 missing
Var516numeric222 unique values
0 missing
Var772numeric247 unique values
0 missing
Var1028numeric276 unique values
0 missing
Var1284numeric245 unique values
0 missing
Var1540numeric194 unique values
0 missing
Var1796numeric216 unique values
0 missing
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Var2308numeric237 unique values
0 missing
Var2564numeric231 unique values
0 missing
Var2820numeric220 unique values
0 missing
Var3076numeric240 unique values
0 missing
Var3332numeric202 unique values
0 missing
Var3588numeric233 unique values
0 missing
Var3844numeric169 unique values
0 missing
Var4100numeric200 unique values
0 missing
Var4356numeric228 unique values
0 missing
Var4612numeric238 unique values
0 missing
Var4868numeric235 unique values
0 missing
Var5124numeric236 unique values
0 missing
Var5380numeric175 unique values
0 missing
Var5636numeric245 unique values
0 missing
Var5892numeric230 unique values
0 missing
Var6148numeric175 unique values
0 missing
Var6404numeric190 unique values
0 missing
Var6660numeric245 unique values
0 missing
Var6916numeric228 unique values
0 missing
Var7172numeric191 unique values
0 missing
Var7428numeric198 unique values
0 missing
Var7684numeric229 unique values
0 missing
Var7940numeric191 unique values
0 missing
Var8196numeric209 unique values
0 missing
Var8452numeric169 unique values
0 missing
Var8708numeric150 unique values
0 missing
Var8964numeric188 unique values
0 missing
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0 missing
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0 missing
Var9988numeric261 unique values
0 missing
Var10244numeric171 unique values
0 missing
Var10500numeric202 unique values
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Var10756numeric243 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
Var12292numeric180 unique values
0 missing
Var12548numeric258 unique values
0 missing
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0 missing
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0 missing
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0 missing
Var13572numeric201 unique values
0 missing
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0 missing
Var14084numeric172 unique values
0 missing
Var14340numeric261 unique values
0 missing
Var14596numeric215 unique values
0 missing
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0 missing
Var15108numeric193 unique values
0 missing
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0 missing
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0 missing
Var15876numeric207 unique values
0 missing
Var16132numeric204 unique values
0 missing
Var16388numeric217 unique values
0 missing
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0 missing
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0 missing
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0 missing
Var17412numeric172 unique values
0 missing
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0 missing
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0 missing
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0 missing
Var18436numeric180 unique values
0 missing
Var18692numeric224 unique values
0 missing
Var18948numeric186 unique values
0 missing
Var19204numeric259 unique values
0 missing
Var19460numeric244 unique values
0 missing
Var19716numeric236 unique values
0 missing
Var19972numeric233 unique values
0 missing
Var20228numeric173 unique values
0 missing
Var20484numeric231 unique values
0 missing
Var20740numeric205 unique values
0 missing
Var20996numeric246 unique values
0 missing
Var21252numeric202 unique values
0 missing
Var21508numeric257 unique values
0 missing
Var21764numeric232 unique values
0 missing
Var22020numeric237 unique values
0 missing
Var22276numeric249 unique values
0 missing
Var22532numeric166 unique values
0 missing
Var22788numeric170 unique values
0 missing
Var23044numeric258 unique values
0 missing
Var23300numeric200 unique values
0 missing
Var23556numeric158 unique values
0 missing
Var23812numeric184 unique values
0 missing
Var24068numeric226 unique values
0 missing
Var24324numeric183 unique values
0 missing
Var24580numeric139 unique values
0 missing
Var24836numeric241 unique values
0 missing
Var25092numeric242 unique values
0 missing
Var25348numeric200 unique values
0 missing
Var25604numeric235 unique values
0 missing
Var25860numeric229 unique values
0 missing
Var26116numeric190 unique values
0 missing
Var26372numeric196 unique values
0 missing
Var26628numeric195 unique values
0 missing
Var26884numeric212 unique values
0 missing
Var27140numeric168 unique values
0 missing
Var27396numeric240 unique values
0 missing
Var27652numeric238 unique values
0 missing
Var27908numeric198 unique values
0 missing
Var28164numeric237 unique values
0 missing
Var28420numeric272 unique values
0 missing
Var28676numeric251 unique values
0 missing
Var28932numeric210 unique values
0 missing
Var29188numeric204 unique values
0 missing
Var29444numeric243 unique values
0 missing
Var29700numeric220 unique values
0 missing
Var29956numeric236 unique values
0 missing
Var30212numeric269 unique values
0 missing
Var30468numeric219 unique values
0 missing
Var30724numeric230 unique values
0 missing
Var30980numeric259 unique values
0 missing
Var31236numeric233 unique values
0 missing
Var31492numeric263 unique values
0 missing
Var31748numeric199 unique values
0 missing
Var32004numeric209 unique values
0 missing
Var32260numeric223 unique values
0 missing
Var32516numeric212 unique values
0 missing
Var32772numeric208 unique values
0 missing
Var33028numeric239 unique values
0 missing
Var33284numeric233 unique values
0 missing
Var33540numeric159 unique values
0 missing
Var33796numeric178 unique values
0 missing
Var34052numeric260 unique values
0 missing
Var34308numeric238 unique values
0 missing
Var34564numeric245 unique values
0 missing
Var34820numeric159 unique values
0 missing
Var35076numeric258 unique values
0 missing
Var35332numeric235 unique values
0 missing
Var35588numeric211 unique values
0 missing
Var35844numeric249 unique values
0 missing
Var36100numeric177 unique values
0 missing
Var36356numeric205 unique values
0 missing
Var36612numeric210 unique values
0 missing
Var36868numeric220 unique values
0 missing
Var37124numeric253 unique values
0 missing
Var37380numeric170 unique values
0 missing
Var37636numeric240 unique values
0 missing
Var37892numeric209 unique values
0 missing
Var38148numeric193 unique values
0 missing
Var38404numeric247 unique values
0 missing
Var38660numeric206 unique values
0 missing
Var38916numeric237 unique values
0 missing
Var39172numeric240 unique values
0 missing
Var39428numeric210 unique values
0 missing
Var39684numeric227 unique values
0 missing
Var39940numeric186 unique values
0 missing
Var40196numeric160 unique values
0 missing
Var40452numeric144 unique values
0 missing
Var40708numeric249 unique values
0 missing
Var40964numeric157 unique values
0 missing
Var41220numeric205 unique values
0 missing
Var41476numeric266 unique values
0 missing
Var41732numeric221 unique values
0 missing
Var41988numeric245 unique values
0 missing
Var42244numeric238 unique values
0 missing
Var42500numeric258 unique values
0 missing
Var42756numeric193 unique values
0 missing
Var43012numeric239 unique values
0 missing
Var43268numeric262 unique values
0 missing
Var43524numeric258 unique values
0 missing
Var43780numeric239 unique values
0 missing
Var44036numeric196 unique values
0 missing
Var44292numeric231 unique values
0 missing
Var44548numeric256 unique values
0 missing
Var44804numeric237 unique values
0 missing
Var45060numeric258 unique values
0 missing
Var45316numeric221 unique values
0 missing
Var45572numeric198 unique values
0 missing
Var45828numeric191 unique values
0 missing
Var46084numeric208 unique values
0 missing
Var46340numeric260 unique values
0 missing
Var46596numeric224 unique values
0 missing
Var46852numeric167 unique values
0 missing
Var47108numeric209 unique values
0 missing
Var47364numeric240 unique values
0 missing
Var47620numeric214 unique values
0 missing
Var47876numeric171 unique values
0 missing
Var48132numeric189 unique values
0 missing
Var48388numeric242 unique values
0 missing
Var48644numeric153 unique values
0 missing
Var48900numeric199 unique values
0 missing
Var49156numeric213 unique values
0 missing
Var49412numeric257 unique values
0 missing
Var49668numeric182 unique values
0 missing
Var49924numeric234 unique values
0 missing
Var50180numeric178 unique values
0 missing
Var50436numeric238 unique values
0 missing
Var50692numeric180 unique values
0 missing
Var50948numeric195 unique values
0 missing
Var51204numeric255 unique values
0 missing
Var51460numeric193 unique values
0 missing
Var51716numeric220 unique values
0 missing
Var51972numeric267 unique values
0 missing
Var52228numeric247 unique values
0 missing
Var52484numeric269 unique values
0 missing
Var52740numeric200 unique values
0 missing
Var52996numeric214 unique values
0 missing
Var53252numeric235 unique values
0 missing
Var53508numeric238 unique values
0 missing
Var53764numeric180 unique values
0 missing
Var54020numeric249 unique values
0 missing
Var54276numeric137 unique values
0 missing
Var54532numeric202 unique values
0 missing
Var5numeric156 unique values
0 missing
Var261numeric227 unique values
0 missing
Var517numeric179 unique values
0 missing
Var773numeric219 unique values
0 missing
Var1029numeric214 unique values
0 missing
Var1285numeric255 unique values
0 missing
Var1541numeric200 unique values
0 missing
Var1797numeric144 unique values
0 missing
Var2053numeric227 unique values
0 missing
Var2309numeric239 unique values
0 missing
Var2565numeric241 unique values
0 missing
Var2821numeric232 unique values
0 missing
Var3077numeric186 unique values
0 missing
Var3333numeric214 unique values
0 missing
Var3589numeric235 unique values
0 missing
Var3845numeric185 unique values
0 missing
Var4101numeric262 unique values
0 missing
Var4357numeric266 unique values
0 missing
Var4613numeric227 unique values
0 missing
Var4869numeric236 unique values
0 missing
Var5125numeric193 unique values
0 missing
Var5381numeric179 unique values
0 missing
Var5637numeric199 unique values
0 missing
Var5893numeric245 unique values
0 missing
Var6149numeric245 unique values
0 missing
Var6405numeric196 unique values
0 missing
Var6661numeric180 unique values
0 missing
Var6917numeric248 unique values
0 missing
Var7173numeric206 unique values
0 missing
Var7429numeric143 unique values
0 missing
Var7685numeric262 unique values
0 missing
Var7941numeric185 unique values
0 missing
Var8197numeric246 unique values
0 missing
Var8453numeric229 unique values
0 missing
Var8709numeric232 unique values
0 missing
Var8965numeric228 unique values
0 missing
Var9221numeric230 unique values
0 missing
Var9477numeric241 unique values
0 missing
Var9733numeric256 unique values
0 missing
Var9989numeric245 unique values
0 missing
Var10245numeric237 unique values
0 missing
Var10501numeric194 unique values
0 missing
Var10757numeric154 unique values
0 missing
Var11013numeric231 unique values
0 missing
Var11269numeric219 unique values
0 missing
Var11525numeric258 unique values
0 missing
Var11781numeric185 unique values
0 missing
Var12037numeric190 unique values
0 missing
Var12293numeric246 unique values
0 missing
Var12549numeric250 unique values
0 missing
Var12805numeric191 unique values
0 missing
Var13061numeric227 unique values
0 missing
Var13317numeric242 unique values
0 missing
Var13573numeric258 unique values
0 missing
Var13829numeric232 unique values
0 missing
Var14085numeric239 unique values
0 missing
Var14341numeric230 unique values
0 missing
Var14597numeric231 unique values
0 missing
Var14853numeric218 unique values
0 missing
Var15109numeric180 unique values
0 missing
Var15365numeric212 unique values
0 missing
Var15621numeric193 unique values
0 missing
Var15877numeric180 unique values
0 missing
Var16133numeric225 unique values
0 missing
Var16389numeric187 unique values
0 missing
Var16645numeric173 unique values
0 missing
Var16901numeric209 unique values
0 missing
Var17157numeric210 unique values
0 missing
Var17413numeric233 unique values
0 missing
Var17669numeric186 unique values
0 missing
Var17925numeric234 unique values
0 missing
Var18181numeric169 unique values
0 missing
Var18437numeric157 unique values
0 missing
Var18693numeric211 unique values
0 missing
Var18949numeric211 unique values
0 missing
Var19205numeric184 unique values
0 missing
Var19461numeric200 unique values
0 missing
Var19717numeric214 unique values
0 missing
Var19973numeric229 unique values
0 missing
Var20229numeric247 unique values
0 missing
Var20485numeric192 unique values
0 missing
Var20741numeric209 unique values
0 missing
Var20997numeric199 unique values
0 missing
Var21253numeric254 unique values
0 missing
Var21509numeric210 unique values
0 missing
Var21765numeric158 unique values
0 missing
Var22021numeric240 unique values
0 missing
Var22277numeric192 unique values
0 missing
Var22533numeric188 unique values
0 missing
Var22789numeric199 unique values
0 missing
Var23045numeric248 unique values
0 missing
Var23301numeric224 unique values
0 missing
Var23557numeric248 unique values
0 missing
Var23813numeric244 unique values
0 missing
Var24069numeric193 unique values
0 missing
Var24325numeric235 unique values
0 missing
Var24581numeric236 unique values
0 missing
Var24837numeric245 unique values
0 missing
Var25093numeric206 unique values
0 missing
Var25349numeric189 unique values
0 missing
Var25605numeric206 unique values
0 missing
Var25861numeric232 unique values
0 missing
Var26117numeric191 unique values
0 missing
Var26373numeric207 unique values
0 missing
Var26629numeric194 unique values
0 missing
Var26885numeric251 unique values
0 missing
Var27141numeric249 unique values
0 missing
Var27397numeric215 unique values
0 missing
Var27653numeric164 unique values
0 missing
Var27909numeric253 unique values
0 missing
Var28165numeric224 unique values
0 missing
Var28421numeric243 unique values
0 missing
Var28677numeric244 unique values
0 missing
Var28933numeric180 unique values
0 missing
Var29189numeric261 unique values
0 missing
Var29445numeric259 unique values
0 missing
Var29701numeric231 unique values
0 missing
Var29957numeric247 unique values
0 missing
Var30213numeric197 unique values
0 missing
Var30469numeric192 unique values
0 missing
Var30725numeric226 unique values
0 missing
Var30981numeric191 unique values
0 missing
Var31237numeric171 unique values
0 missing
Var31493numeric241 unique values
0 missing
Var31749numeric251 unique values
0 missing
Var32005numeric236 unique values
0 missing
Var32261numeric235 unique values
0 missing
Var32517numeric186 unique values
0 missing
Var32773numeric186 unique values
0 missing
Var33029numeric250 unique values
0 missing
Var33285numeric179 unique values
0 missing
Var33541numeric229 unique values
0 missing
Var33797numeric190 unique values
0 missing
Var34053numeric168 unique values
0 missing
Var34309numeric259 unique values
0 missing
Var34565numeric231 unique values
0 missing
Var34821numeric239 unique values
0 missing
Var35077numeric263 unique values
0 missing
Var35333numeric215 unique values
0 missing
Var35589numeric228 unique values
0 missing
Var35845numeric162 unique values
0 missing
Var36101numeric255 unique values
0 missing
Var36357numeric257 unique values
0 missing

107 properties

283
Number of instances (rows) of the dataset.
54622
Number of attributes (columns) of the dataset.
3
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.
54621
Number of numeric attributes.
1
Number of nominal attributes.
Second quartile (Median) of entropy among attributes.
0.14
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.28
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
0.13
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
86.57
Percentage of instances belonging to the most frequent class.
0.22
Mean standard deviation of attributes of the numeric type.
0.72
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.7
Entropy of the target attribute values.
0.4
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
245
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
2.46
Second quartile (Median) of means among attributes of the numeric type.
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.59
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.14
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.11
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
239.8
Maximum kurtosis among attributes of the numeric type.
1.23
Minimum of means among attributes of the numeric type.
0.44
Second quartile (Median) of skewness among attributes of the numeric type.
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
6.9
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
193.01
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
3
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.19
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.
3
The maximum number of distinct values among attributes of the nominal type.
-3.4
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
2.05
Third quartile of kurtosis among attributes of the numeric type.
0.75
Average class difference between consecutive instances.
0.16
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
14.87
Maximum skewness among attributes of the numeric type.
0.04
Minimum standard deviation of attributes of the numeric type.
100
Percentage of numeric attributes.
3.31
Third quartile of means among attributes of the numeric type.
0.61
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
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.18
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.45
Maximum standard deviation of attributes of the numeric type.
6.36
Percentage of instances belonging to the least frequent class.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.17
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
0.19
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
18
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
0.92
Third quartile of skewness among attributes of the numeric type.
0.28
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
0.16
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
3.32
Mean kurtosis among attributes of the numeric type.
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.19
First quartile of kurtosis among attributes of the numeric type.
0.28
Third quartile of standard deviation of attributes of the numeric type.
0.61
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
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.18
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
2.65
Mean of means among attributes of the numeric type.
0.1
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1.84
First quartile of means among attributes of the numeric type.
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.17
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
0.19
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
0.14
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.28
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
0.16
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.61
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.
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.61
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.
0.18
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
3
Average number of distinct values among the attributes of the nominal type.
0.11
First quartile of standard deviation of attributes of the numeric type.
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.17
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
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.71
Mean skewness 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