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anthracyclineTaxaneChemotherapy

anthracyclineTaxaneChemotherapy

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
Var34307numeric143 unique values
0 missing
Var34563numeric143 unique values
0 missing
Var34819numeric142 unique values
0 missing
Var35075numeric121 unique values
0 missing
Var35331numeric116 unique values
0 missing
Var35587numeric131 unique values
0 missing
Var35843numeric131 unique values
0 missing
Var36099numeric123 unique values
0 missing
Var36355numeric128 unique values
0 missing
Var36611numeric141 unique values
0 missing
Var36867numeric137 unique values
0 missing
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0 missing
Var37379numeric120 unique values
0 missing
Var37635numeric127 unique values
0 missing
Var37891numeric142 unique values
0 missing
Var38147numeric124 unique values
0 missing
Var38403numeric146 unique values
0 missing
Var38659numeric115 unique values
0 missing
Var38915numeric138 unique values
0 missing
Var39171numeric131 unique values
0 missing
Var39427numeric152 unique values
0 missing
Var39683numeric141 unique values
0 missing
Var39939numeric134 unique values
0 missing
Var40195numeric136 unique values
0 missing
Var40451numeric144 unique values
0 missing
Var40707numeric120 unique values
0 missing
Var40963numeric121 unique values
0 missing
Var41219numeric117 unique values
0 missing
Var41475numeric144 unique values
0 missing
Var41731numeric129 unique values
0 missing
Var41987numeric141 unique values
0 missing
Var42243numeric140 unique values
0 missing
Var42499numeric100 unique values
0 missing
Var42755numeric121 unique values
0 missing
Var43011numeric136 unique values
0 missing
Var43267numeric148 unique values
0 missing
Var43523numeric138 unique values
0 missing
Var43779numeric125 unique values
0 missing
Var44035numeric145 unique values
0 missing
Var44291numeric148 unique values
0 missing
Var44547numeric138 unique values
0 missing
Var44803numeric136 unique values
0 missing
Var45059numeric144 unique values
0 missing
Var45315numeric127 unique values
0 missing
Var45571numeric128 unique values
0 missing
Var45827numeric127 unique values
0 missing
Var46083numeric123 unique values
0 missing
Var46339numeric141 unique values
0 missing
Var46595numeric127 unique values
0 missing
Var46851numeric138 unique values
0 missing
Var47107numeric138 unique values
0 missing
Var47363numeric122 unique values
0 missing
Var47619numeric135 unique values
0 missing
Var47875numeric145 unique values
0 missing
Var48131numeric152 unique values
0 missing
Var48387numeric142 unique values
0 missing
Var48643numeric148 unique values
0 missing
Var48899numeric120 unique values
0 missing
Var49155numeric129 unique values
0 missing
Var49411numeric135 unique values
0 missing
Var49667numeric129 unique values
0 missing
Var49923numeric118 unique values
0 missing
Var50179numeric134 unique values
0 missing
Var50435numeric122 unique values
0 missing
Var50691numeric145 unique values
0 missing
Var50947numeric128 unique values
0 missing
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0 missing
Var51459numeric137 unique values
0 missing
Var51715numeric145 unique values
0 missing
Var51971numeric141 unique values
0 missing
Var52227numeric133 unique values
0 missing
Var52483numeric124 unique values
0 missing
Var52739numeric134 unique values
0 missing
Var52995numeric145 unique values
0 missing
Var53251numeric128 unique values
0 missing
Var53507numeric138 unique values
0 missing
Var53763numeric105 unique values
0 missing
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0 missing
Var54275numeric112 unique values
0 missing
Var54531numeric130 unique values
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0 missing
Var55043numeric152 unique values
0 missing
Var55299numeric119 unique values
0 missing
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0 missing
Var55811numeric126 unique values
0 missing
Var56067numeric142 unique values
0 missing
Var56323numeric135 unique values
0 missing
Var56579numeric125 unique values
0 missing
Var56835numeric131 unique values
0 missing
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0 missing
Var57347numeric140 unique values
0 missing
Var57603numeric121 unique values
0 missing
Var57859numeric144 unique values
0 missing
Var58115numeric133 unique values
0 missing
Var58371numeric125 unique values
0 missing
Var58627numeric128 unique values
0 missing
Var58883numeric130 unique values
0 missing
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0 missing
Var59395numeric117 unique values
0 missing
Var59651numeric133 unique values
0 missing
Var59907numeric127 unique values
0 missing
Var60163numeric117 unique values
0 missing
Var60419numeric127 unique values
0 missing
Var60675numeric138 unique values
0 missing
Var60931numeric130 unique values
0 missing
Var61187numeric127 unique values
0 missing
Var4numeric153 unique values
0 missing
Var260numeric151 unique values
0 missing
Var516numeric141 unique values
0 missing
Var772numeric130 unique values
0 missing
Var1028numeric128 unique values
0 missing
Var1284numeric144 unique values
0 missing
Var1540numeric127 unique values
0 missing
Var1796numeric140 unique values
0 missing
Var2052numeric145 unique values
0 missing
Var2308numeric138 unique values
0 missing
Var2564numeric142 unique values
0 missing
Var2820numeric128 unique values
0 missing
Var3076numeric140 unique values
0 missing
Var3332numeric147 unique values
0 missing
Var3588numeric110 unique values
0 missing
Var3844numeric153 unique values
0 missing
Var4100numeric150 unique values
0 missing
Var4356numeric140 unique values
0 missing
Var4612numeric140 unique values
0 missing
Var4868numeric138 unique values
0 missing
Var5124numeric126 unique values
0 missing
Var5380numeric145 unique values
0 missing
Var5636numeric124 unique values
0 missing
Var5892numeric133 unique values
0 missing
Var6148numeric113 unique values
0 missing
Var6404numeric125 unique values
0 missing
Var6660numeric140 unique values
0 missing
Var6916numeric136 unique values
0 missing
Var7172numeric136 unique values
0 missing
Var7428numeric118 unique values
0 missing
Var7684numeric117 unique values
0 missing
Var7940numeric147 unique values
0 missing
Var8196numeric130 unique values
0 missing
Var8452numeric141 unique values
0 missing
Var8708numeric136 unique values
0 missing
Var8964numeric121 unique values
0 missing
Var9220numeric133 unique values
0 missing
Var9476numeric117 unique values
0 missing
Var9732numeric129 unique values
0 missing
Var9988numeric127 unique values
0 missing
Var10244numeric144 unique values
0 missing
Var10500numeric147 unique values
0 missing
Var10756numeric151 unique values
0 missing
Var11012numeric121 unique values
0 missing
Var11268numeric144 unique values
0 missing
Var11524numeric123 unique values
0 missing
Var11780numeric129 unique values
0 missing
Var12036numeric137 unique values
0 missing
Var12292numeric119 unique values
0 missing
Var12548numeric145 unique values
0 missing
Var12804numeric120 unique values
0 missing
Var13060numeric130 unique values
0 missing
Var13316numeric147 unique values
0 missing
Var13572numeric131 unique values
0 missing
Var13828numeric90 unique values
0 missing
Var14084numeric143 unique values
0 missing
Var14340numeric122 unique values
0 missing
Var14596numeric134 unique values
0 missing
Var14852numeric125 unique values
0 missing
Var15108numeric123 unique values
0 missing
Var15364numeric124 unique values
0 missing
Var15620numeric131 unique values
0 missing
Var15876numeric120 unique values
0 missing
Var16132numeric126 unique values
0 missing
Var16388numeric119 unique values
0 missing
Var16644numeric151 unique values
0 missing
Var16900numeric142 unique values
0 missing
Var17156numeric122 unique values
0 missing
Var17412numeric125 unique values
0 missing
Var17668numeric133 unique values
0 missing
Var17924numeric147 unique values
0 missing
Var18180numeric129 unique values
0 missing
Var18436numeric140 unique values
0 missing
Var18692numeric144 unique values
0 missing
Var18948numeric135 unique values
0 missing
Var19204numeric149 unique values
0 missing
Var19460numeric121 unique values
0 missing
Var19716numeric120 unique values
0 missing
Var19972numeric134 unique values
0 missing
Var20228numeric133 unique values
0 missing
Var20484numeric135 unique values
0 missing
Var20740numeric139 unique values
0 missing
Var20996numeric140 unique values
0 missing
Var21252numeric126 unique values
0 missing
Var21508numeric119 unique values
0 missing
Var21764numeric139 unique values
0 missing
Var22020numeric149 unique values
0 missing
Var22276numeric124 unique values
0 missing
Var22532numeric142 unique values
0 missing
Var22788numeric122 unique values
0 missing
Var23044numeric117 unique values
0 missing
Var23300numeric148 unique values
0 missing
Var23556numeric116 unique values
0 missing
Var23812numeric140 unique values
0 missing
Var24068numeric130 unique values
0 missing
Var24324numeric140 unique values
0 missing
Var24580numeric144 unique values
0 missing
Var24836numeric119 unique values
0 missing
Var25092numeric154 unique values
0 missing
Var25348numeric138 unique values
0 missing
Var25604numeric105 unique values
0 missing
Var25860numeric126 unique values
0 missing
Var26116numeric141 unique values
0 missing
Var26372numeric144 unique values
0 missing
Var26628numeric123 unique values
0 missing
Var26884numeric121 unique values
0 missing
Var27140numeric148 unique values
0 missing
Var27396numeric145 unique values
0 missing
Var27652numeric125 unique values
0 missing
Var27908numeric129 unique values
0 missing
Var28164numeric114 unique values
0 missing
Var28420numeric125 unique values
0 missing
Var28676numeric141 unique values
0 missing
Var28932numeric136 unique values
0 missing
Var29188numeric138 unique values
0 missing
Var29444numeric149 unique values
0 missing
Var29700numeric124 unique values
0 missing
Var29956numeric119 unique values
0 missing
Var30212numeric138 unique values
0 missing
Var30468numeric140 unique values
0 missing
Var30724numeric140 unique values
0 missing
Var30980numeric134 unique values
0 missing
Var31236numeric154 unique values
0 missing
Var31492numeric149 unique values
0 missing
Var31748numeric146 unique values
0 missing
Var32004numeric139 unique values
0 missing
Var32260numeric156 unique values
0 missing
Var32516numeric146 unique values
0 missing
Var32772numeric145 unique values
0 missing
Var33028numeric148 unique values
0 missing
Var33284numeric143 unique values
0 missing
Var33540numeric143 unique values
0 missing
Var33796numeric146 unique values
0 missing
Var34052numeric150 unique values
0 missing
Var34308numeric125 unique values
0 missing
Var34564numeric147 unique values
0 missing
Var34820numeric125 unique values
0 missing
Var35076numeric136 unique values
0 missing
Var35332numeric136 unique values
0 missing
Var35588numeric132 unique values
0 missing
Var35844numeric140 unique values
0 missing
Var36100numeric116 unique values
0 missing
Var36356numeric133 unique values
0 missing
Var36612numeric153 unique values
0 missing
Var36868numeric139 unique values
0 missing
Var37124numeric129 unique values
0 missing
Var37380numeric140 unique values
0 missing
Var37636numeric134 unique values
0 missing
Var37892numeric125 unique values
0 missing
Var38148numeric136 unique values
0 missing
Var38404numeric139 unique values
0 missing
Var38660numeric136 unique values
0 missing
Var38916numeric126 unique values
0 missing
Var39172numeric117 unique values
0 missing
Var39428numeric128 unique values
0 missing
Var39684numeric128 unique values
0 missing
Var39940numeric126 unique values
0 missing
Var40196numeric125 unique values
0 missing
Var40452numeric132 unique values
0 missing
Var40708numeric147 unique values
0 missing
Var40964numeric132 unique values
0 missing
Var41220numeric116 unique values
0 missing
Var41476numeric121 unique values
0 missing
Var41732numeric137 unique values
0 missing
Var41988numeric140 unique values
0 missing
Var42244numeric134 unique values
0 missing
Var42500numeric127 unique values
0 missing
Var42756numeric144 unique values
0 missing
Var43012numeric127 unique values
0 missing
Var43268numeric150 unique values
0 missing
Var43524numeric144 unique values
0 missing
Var43780numeric133 unique values
0 missing
Var44036numeric140 unique values
0 missing
Var44292numeric148 unique values
0 missing
Var44548numeric119 unique values
0 missing
Var44804numeric131 unique values
0 missing
Var45060numeric143 unique values
0 missing
Var45316numeric127 unique values
0 missing
Var45572numeric127 unique values
0 missing
Var45828numeric122 unique values
0 missing
Var46084numeric151 unique values
0 missing
Var46340numeric112 unique values
0 missing
Var46596numeric143 unique values
0 missing
Var46852numeric139 unique values
0 missing
Var47108numeric152 unique values
0 missing
Var47364numeric150 unique values
0 missing
Var47620numeric133 unique values
0 missing
Var47876numeric137 unique values
0 missing
Var48132numeric120 unique values
0 missing
Var48388numeric135 unique values
0 missing
Var48644numeric127 unique values
0 missing
Var48900numeric134 unique values
0 missing
Var49156numeric130 unique values
0 missing
Var49412numeric139 unique values
0 missing
Var49668numeric147 unique values
0 missing
Var49924numeric133 unique values
0 missing
Var50180numeric150 unique values
0 missing
Var50436numeric124 unique values
0 missing
Var50692numeric150 unique values
0 missing
Var50948numeric146 unique values
0 missing
Var51204numeric136 unique values
0 missing
Var51460numeric146 unique values
0 missing
Var51716numeric124 unique values
0 missing
Var51972numeric129 unique values
0 missing
Var52228numeric128 unique values
0 missing
Var52484numeric117 unique values
0 missing
Var52740numeric134 unique values
0 missing
Var52996numeric114 unique values
0 missing
Var53252numeric140 unique values
0 missing
Var53508numeric137 unique values
0 missing
Var53764numeric116 unique values
0 missing
Var54020numeric151 unique values
0 missing
Var54276numeric138 unique values
0 missing
Var54532numeric134 unique values
0 missing
Var54788numeric146 unique values
0 missing
Var55044numeric131 unique values
0 missing
Var55300numeric126 unique values
0 missing
Var55556numeric146 unique values
0 missing
Var55812numeric121 unique values
0 missing
Var56068numeric140 unique values
0 missing
Var56324numeric142 unique values
0 missing
Var56580numeric133 unique values
0 missing
Var56836numeric134 unique values
0 missing
Var57092numeric148 unique values
0 missing
Var57348numeric118 unique values
0 missing
Var57604numeric148 unique values
0 missing
Var57860numeric140 unique values
0 missing
Var58116numeric130 unique values
0 missing
Var58372numeric149 unique values
0 missing
Var58628numeric144 unique values
0 missing
Var58884numeric138 unique values
0 missing
Var59140numeric136 unique values
0 missing
Var59396numeric123 unique values
0 missing
Var59652numeric138 unique values
0 missing
Var59908numeric138 unique values
0 missing
Var60164numeric144 unique values
0 missing
Var60420numeric144 unique values
0 missing
Var60676numeric150 unique values
0 missing
Var60932numeric145 unique values
0 missing
Var61188numeric136 unique values
0 missing
Var5numeric146 unique values
0 missing
Var261numeric122 unique values
0 missing
Var517numeric148 unique values
0 missing
Var773numeric137 unique values
0 missing
Var1029numeric126 unique values
0 missing
Var1285numeric126 unique values
0 missing
Var1541numeric115 unique values
0 missing
Var1797numeric139 unique values
0 missing
Var2053numeric141 unique values
0 missing
Var2309numeric143 unique values
0 missing
Var2565numeric152 unique values
0 missing
Var2821numeric125 unique values
0 missing
Var3077numeric146 unique values
0 missing
Var3333numeric154 unique values
0 missing
Var3589numeric146 unique values
0 missing
Var3845numeric134 unique values
0 missing
Var4101numeric93 unique values
0 missing
Var4357numeric146 unique values
0 missing
Var4613numeric122 unique values
0 missing
Var4869numeric118 unique values
0 missing
Var5125numeric149 unique values
0 missing
Var5381numeric131 unique values
0 missing
Var5637numeric125 unique values
0 missing
Var5893numeric121 unique values
0 missing
Var6149numeric152 unique values
0 missing
Var6405numeric137 unique values
0 missing
Var6661numeric127 unique values
0 missing
Var6917numeric141 unique values
0 missing
Var7173numeric146 unique values
0 missing
Var7429numeric124 unique values
0 missing
Var7685numeric151 unique values
0 missing
Var7941numeric114 unique values
0 missing
Var8197numeric131 unique values
0 missing
Var8453numeric132 unique values
0 missing
Var8709numeric151 unique values
0 missing
Var8965numeric134 unique values
0 missing
Var9221numeric149 unique values
0 missing
Var9477numeric135 unique values
0 missing
Var9733numeric132 unique values
0 missing

107 properties

159
Number of instances (rows) of the dataset.
61360
Number of attributes (columns) of the dataset.
2
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.
61359
Number of numeric attributes.
1
Number of nominal attributes.
Second quartile (Median) of entropy among attributes.
0.4
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.08
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
0.51
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
59.75
Percentage of instances belonging to the most frequent class.
0.18
Mean standard deviation of attributes of the numeric type.
0.32
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.97
Entropy of the target attribute values.
-0.04
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
95
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
3.6
Second quartile (Median) of means among attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.81
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.4
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.48
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
143.69
Maximum kurtosis among attributes of the numeric type.
1.68
Minimum of means among attributes of the numeric type.
0.26
Second quartile (Median) of skewness among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
-0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
7.14
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.
0.14
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.53
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
385.91
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
2
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.
0.47
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.
2
The maximum number of distinct values among attributes of the nominal type.
-4.37
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
1.15
Third quartile of kurtosis among attributes of the numeric type.
0.53
Average class difference between consecutive instances.
0.05
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
11.72
Maximum skewness among attributes of the numeric type.
0.02
Minimum standard deviation of attributes of the numeric type.
100
Percentage of numeric attributes.
4.28
Third quartile of means among attributes of the numeric type.
0.55
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
0.53
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.
40.25
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.
0.43
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
0.47
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
-0.05
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
64
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
0.64
Third quartile of skewness among attributes of the numeric type.
0.08
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
0.05
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
1.58
Mean kurtosis among attributes of the numeric type.
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-0.11
First quartile of kurtosis among attributes of the numeric type.
0.22
Third quartile of standard deviation of attributes of the numeric type.
0.55
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
0.53
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
3.68
Mean of means among attributes of the numeric type.
0.47
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
2.99
First quartile of means among attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.43
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
0.47
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
-0.05
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
0.4
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.08
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
0.05
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.48
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.
1
Number of binary attributes.
-0.03
First quartile of skewness among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.55
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
2
Average number of distinct values among the attributes of the nominal type.
0.09
First quartile of standard deviation of attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.43
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
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
-0.05
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.44
Mean skewness among attributes of the numeric type.

7 tasks

47 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: 33% Holdout set - 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