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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

61360 features

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Var32515	numeric	147 unique values 0 missing
Var32771	numeric	143 unique values 0 missing
Var33027	numeric	109 unique values 0 missing
Var33283	numeric	132 unique values 0 missing
Var33539	numeric	130 unique values 0 missing
Var33795	numeric	147 unique values 0 missing
Var34051	numeric	148 unique values 0 missing
Var34307	numeric	143 unique values 0 missing
Var34563	numeric	143 unique values 0 missing
Var34819	numeric	142 unique values 0 missing
Var35075	numeric	121 unique values 0 missing
Var35331	numeric	116 unique values 0 missing
Var35587	numeric	131 unique values 0 missing
Var35843	numeric	131 unique values 0 missing
Var36099	numeric	123 unique values 0 missing
Var36355	numeric	128 unique values 0 missing
Var36611	numeric	141 unique values 0 missing
Var36867	numeric	137 unique values 0 missing
Var37123	numeric	115 unique values 0 missing
Var37379	numeric	120 unique values 0 missing
Var37635	numeric	127 unique values 0 missing
Var37891	numeric	142 unique values 0 missing
Var38147	numeric	124 unique values 0 missing
Var38403	numeric	146 unique values 0 missing
Var38659	numeric	115 unique values 0 missing
Var38915	numeric	138 unique values 0 missing
Var39171	numeric	131 unique values 0 missing
Var39427	numeric	152 unique values 0 missing
Var39683	numeric	141 unique values 0 missing
Var39939	numeric	134 unique values 0 missing
Var40195	numeric	136 unique values 0 missing
Var40451	numeric	144 unique values 0 missing
Var40707	numeric	120 unique values 0 missing
Var40963	numeric	121 unique values 0 missing
Var41219	numeric	117 unique values 0 missing
Var41475	numeric	144 unique values 0 missing
Var41731	numeric	129 unique values 0 missing
Var41987	numeric	141 unique values 0 missing
Var42243	numeric	140 unique values 0 missing
Var42499	numeric	100 unique values 0 missing
Var42755	numeric	121 unique values 0 missing
Var43011	numeric	136 unique values 0 missing
Var43267	numeric	148 unique values 0 missing
Var43523	numeric	138 unique values 0 missing
Var43779	numeric	125 unique values 0 missing
Var44035	numeric	145 unique values 0 missing
Var44291	numeric	148 unique values 0 missing
Var44547	numeric	138 unique values 0 missing
Var44803	numeric	136 unique values 0 missing
Var45059	numeric	144 unique values 0 missing
Var45315	numeric	127 unique values 0 missing
Var45571	numeric	128 unique values 0 missing
Var45827	numeric	127 unique values 0 missing
Var46083	numeric	123 unique values 0 missing
Var46339	numeric	141 unique values 0 missing
Var46595	numeric	127 unique values 0 missing
Var46851	numeric	138 unique values 0 missing
Var47107	numeric	138 unique values 0 missing
Var47363	numeric	122 unique values 0 missing
Var47619	numeric	135 unique values 0 missing
Var47875	numeric	145 unique values 0 missing
Var48131	numeric	152 unique values 0 missing
Var48387	numeric	142 unique values 0 missing
Var48643	numeric	148 unique values 0 missing
Var48899	numeric	120 unique values 0 missing
Var49155	numeric	129 unique values 0 missing
Var49411	numeric	135 unique values 0 missing
Var49667	numeric	129 unique values 0 missing
Var49923	numeric	118 unique values 0 missing
Var50179	numeric	134 unique values 0 missing
Var50435	numeric	122 unique values 0 missing
Var50691	numeric	145 unique values 0 missing
Var50947	numeric	128 unique values 0 missing
Var51203	numeric	133 unique values 0 missing
Var51459	numeric	137 unique values 0 missing
Var51715	numeric	145 unique values 0 missing
Var51971	numeric	141 unique values 0 missing
Var52227	numeric	133 unique values 0 missing
Var52483	numeric	124 unique values 0 missing
Var52739	numeric	134 unique values 0 missing
Var52995	numeric	145 unique values 0 missing
Var53251	numeric	128 unique values 0 missing
Var53507	numeric	138 unique values 0 missing
Var53763	numeric	105 unique values 0 missing
Var54019	numeric	154 unique values 0 missing
Var54275	numeric	112 unique values 0 missing
Var54531	numeric	130 unique values 0 missing
Var54787	numeric	152 unique values 0 missing
Var55043	numeric	152 unique values 0 missing
Var55299	numeric	119 unique values 0 missing
Var55555	numeric	134 unique values 0 missing
Var55811	numeric	126 unique values 0 missing
Var56067	numeric	142 unique values 0 missing
Var56323	numeric	135 unique values 0 missing
Var56579	numeric	125 unique values 0 missing
Var56835	numeric	131 unique values 0 missing
Var57091	numeric	140 unique values 0 missing
Var57347	numeric	140 unique values 0 missing
Var57603	numeric	121 unique values 0 missing
Var57859	numeric	144 unique values 0 missing
Var58115	numeric	133 unique values 0 missing
Var58371	numeric	125 unique values 0 missing
Var58627	numeric	128 unique values 0 missing
Var58883	numeric	130 unique values 0 missing
Var59139	numeric	149 unique values 0 missing
Var59395	numeric	117 unique values 0 missing
Var59651	numeric	133 unique values 0 missing
Var59907	numeric	127 unique values 0 missing
Var60163	numeric	117 unique values 0 missing
Var60419	numeric	127 unique values 0 missing
Var60675	numeric	138 unique values 0 missing
Var60931	numeric	130 unique values 0 missing
Var61187	numeric	127 unique values 0 missing
Var4	numeric	153 unique values 0 missing
Var260	numeric	151 unique values 0 missing
Var516	numeric	141 unique values 0 missing
Var772	numeric	130 unique values 0 missing
Var1028	numeric	128 unique values 0 missing
Var1284	numeric	144 unique values 0 missing
Var1540	numeric	127 unique values 0 missing
Var1796	numeric	140 unique values 0 missing
Var2052	numeric	145 unique values 0 missing
Var2308	numeric	138 unique values 0 missing
Var2564	numeric	142 unique values 0 missing
Var2820	numeric	128 unique values 0 missing
Var3076	numeric	140 unique values 0 missing
Var3332	numeric	147 unique values 0 missing
Var3588	numeric	110 unique values 0 missing
Var3844	numeric	153 unique values 0 missing
Var4100	numeric	150 unique values 0 missing
Var4356	numeric	140 unique values 0 missing
Var4612	numeric	140 unique values 0 missing
Var4868	numeric	138 unique values 0 missing
Var5124	numeric	126 unique values 0 missing
Var5380	numeric	145 unique values 0 missing
Var5636	numeric	124 unique values 0 missing
Var5892	numeric	133 unique values 0 missing
Var6148	numeric	113 unique values 0 missing
Var6404	numeric	125 unique values 0 missing
Var6660	numeric	140 unique values 0 missing
Var6916	numeric	136 unique values 0 missing
Var7172	numeric	136 unique values 0 missing
Var7428	numeric	118 unique values 0 missing
Var7684	numeric	117 unique values 0 missing
Var7940	numeric	147 unique values 0 missing
Var8196	numeric	130 unique values 0 missing
Var8452	numeric	141 unique values 0 missing
Var8708	numeric	136 unique values 0 missing
Var8964	numeric	121 unique values 0 missing
Var9220	numeric	133 unique values 0 missing
Var9476	numeric	117 unique values 0 missing
Var9732	numeric	129 unique values 0 missing
Var9988	numeric	127 unique values 0 missing
Var10244	numeric	144 unique values 0 missing
Var10500	numeric	147 unique values 0 missing
Var10756	numeric	151 unique values 0 missing
Var11012	numeric	121 unique values 0 missing
Var11268	numeric	144 unique values 0 missing
Var11524	numeric	123 unique values 0 missing
Var11780	numeric	129 unique values 0 missing
Var12036	numeric	137 unique values 0 missing
Var12292	numeric	119 unique values 0 missing
Var12548	numeric	145 unique values 0 missing
Var12804	numeric	120 unique values 0 missing
Var13060	numeric	130 unique values 0 missing
Var13316	numeric	147 unique values 0 missing
Var13572	numeric	131 unique values 0 missing
Var13828	numeric	90 unique values 0 missing
Var14084	numeric	143 unique values 0 missing
Var14340	numeric	122 unique values 0 missing
Var14596	numeric	134 unique values 0 missing
Var14852	numeric	125 unique values 0 missing
Var15108	numeric	123 unique values 0 missing
Var15364	numeric	124 unique values 0 missing
Var15620	numeric	131 unique values 0 missing
Var15876	numeric	120 unique values 0 missing
Var16132	numeric	126 unique values 0 missing
Var16388	numeric	119 unique values 0 missing
Var16644	numeric	151 unique values 0 missing
Var16900	numeric	142 unique values 0 missing
Var17156	numeric	122 unique values 0 missing
Var17412	numeric	125 unique values 0 missing
Var17668	numeric	133 unique values 0 missing
Var17924	numeric	147 unique values 0 missing
Var18180	numeric	129 unique values 0 missing
Var18436	numeric	140 unique values 0 missing
Var18692	numeric	144 unique values 0 missing
Var18948	numeric	135 unique values 0 missing
Var19204	numeric	149 unique values 0 missing
Var19460	numeric	121 unique values 0 missing
Var19716	numeric	120 unique values 0 missing
Var19972	numeric	134 unique values 0 missing
Var20228	numeric	133 unique values 0 missing
Var20484	numeric	135 unique values 0 missing
Var20740	numeric	139 unique values 0 missing
Var20996	numeric	140 unique values 0 missing
Var21252	numeric	126 unique values 0 missing
Var21508	numeric	119 unique values 0 missing
Var21764	numeric	139 unique values 0 missing
Var22020	numeric	149 unique values 0 missing
Var22276	numeric	124 unique values 0 missing
Var22532	numeric	142 unique values 0 missing
Var22788	numeric	122 unique values 0 missing
Var23044	numeric	117 unique values 0 missing
Var23300	numeric	148 unique values 0 missing
Var23556	numeric	116 unique values 0 missing
Var23812	numeric	140 unique values 0 missing
Var24068	numeric	130 unique values 0 missing
Var24324	numeric	140 unique values 0 missing
Var24580	numeric	144 unique values 0 missing
Var24836	numeric	119 unique values 0 missing
Var25092	numeric	154 unique values 0 missing
Var25348	numeric	138 unique values 0 missing
Var25604	numeric	105 unique values 0 missing
Var25860	numeric	126 unique values 0 missing
Var26116	numeric	141 unique values 0 missing
Var26372	numeric	144 unique values 0 missing
Var26628	numeric	123 unique values 0 missing
Var26884	numeric	121 unique values 0 missing
Var27140	numeric	148 unique values 0 missing
Var27396	numeric	145 unique values 0 missing
Var27652	numeric	125 unique values 0 missing
Var27908	numeric	129 unique values 0 missing
Var28164	numeric	114 unique values 0 missing
Var28420	numeric	125 unique values 0 missing
Var28676	numeric	141 unique values 0 missing
Var28932	numeric	136 unique values 0 missing
Var29188	numeric	138 unique values 0 missing
Var29444	numeric	149 unique values 0 missing
Var29700	numeric	124 unique values 0 missing
Var29956	numeric	119 unique values 0 missing
Var30212	numeric	138 unique values 0 missing
Var30468	numeric	140 unique values 0 missing
Var30724	numeric	140 unique values 0 missing
Var30980	numeric	134 unique values 0 missing
Var31236	numeric	154 unique values 0 missing
Var31492	numeric	149 unique values 0 missing
Var31748	numeric	146 unique values 0 missing
Var32004	numeric	139 unique values 0 missing
Var32260	numeric	156 unique values 0 missing
Var32516	numeric	146 unique values 0 missing
Var32772	numeric	145 unique values 0 missing
Var33028	numeric	148 unique values 0 missing
Var33284	numeric	143 unique values 0 missing
Var33540	numeric	143 unique values 0 missing
Var33796	numeric	146 unique values 0 missing
Var34052	numeric	150 unique values 0 missing
Var34308	numeric	125 unique values 0 missing
Var34564	numeric	147 unique values 0 missing
Var34820	numeric	125 unique values 0 missing
Var35076	numeric	136 unique values 0 missing
Var35332	numeric	136 unique values 0 missing
Var35588	numeric	132 unique values 0 missing
Var35844	numeric	140 unique values 0 missing
Var36100	numeric	116 unique values 0 missing
Var36356	numeric	133 unique values 0 missing
Var36612	numeric	153 unique values 0 missing
Var36868	numeric	139 unique values 0 missing
Var37124	numeric	129 unique values 0 missing
Var37380	numeric	140 unique values 0 missing
Var37636	numeric	134 unique values 0 missing
Var37892	numeric	125 unique values 0 missing
Var38148	numeric	136 unique values 0 missing
Var38404	numeric	139 unique values 0 missing
Var38660	numeric	136 unique values 0 missing
Var38916	numeric	126 unique values 0 missing
Var39172	numeric	117 unique values 0 missing
Var39428	numeric	128 unique values 0 missing
Var39684	numeric	128 unique values 0 missing
Var39940	numeric	126 unique values 0 missing
Var40196	numeric	125 unique values 0 missing
Var40452	numeric	132 unique values 0 missing
Var40708	numeric	147 unique values 0 missing
Var40964	numeric	132 unique values 0 missing
Var41220	numeric	116 unique values 0 missing
Var41476	numeric	121 unique values 0 missing
Var41732	numeric	137 unique values 0 missing
Var41988	numeric	140 unique values 0 missing
Var42244	numeric	134 unique values 0 missing
Var42500	numeric	127 unique values 0 missing
Var42756	numeric	144 unique values 0 missing
Var43012	numeric	127 unique values 0 missing
Var43268	numeric	150 unique values 0 missing
Var43524	numeric	144 unique values 0 missing
Var43780	numeric	133 unique values 0 missing
Var44036	numeric	140 unique values 0 missing
Var44292	numeric	148 unique values 0 missing
Var44548	numeric	119 unique values 0 missing
Var44804	numeric	131 unique values 0 missing
Var45060	numeric	143 unique values 0 missing
Var45316	numeric	127 unique values 0 missing
Var45572	numeric	127 unique values 0 missing
Var45828	numeric	122 unique values 0 missing
Var46084	numeric	151 unique values 0 missing
Var46340	numeric	112 unique values 0 missing
Var46596	numeric	143 unique values 0 missing
Var46852	numeric	139 unique values 0 missing
Var47108	numeric	152 unique values 0 missing
Var47364	numeric	150 unique values 0 missing
Var47620	numeric	133 unique values 0 missing
Var47876	numeric	137 unique values 0 missing
Var48132	numeric	120 unique values 0 missing
Var48388	numeric	135 unique values 0 missing
Var48644	numeric	127 unique values 0 missing
Var48900	numeric	134 unique values 0 missing
Var49156	numeric	130 unique values 0 missing
Var49412	numeric	139 unique values 0 missing
Var49668	numeric	147 unique values 0 missing
Var49924	numeric	133 unique values 0 missing
Var50180	numeric	150 unique values 0 missing
Var50436	numeric	124 unique values 0 missing
Var50692	numeric	150 unique values 0 missing
Var50948	numeric	146 unique values 0 missing
Var51204	numeric	136 unique values 0 missing
Var51460	numeric	146 unique values 0 missing
Var51716	numeric	124 unique values 0 missing
Var51972	numeric	129 unique values 0 missing
Var52228	numeric	128 unique values 0 missing
Var52484	numeric	117 unique values 0 missing
Var52740	numeric	134 unique values 0 missing
Var52996	numeric	114 unique values 0 missing
Var53252	numeric	140 unique values 0 missing
Var53508	numeric	137 unique values 0 missing
Var53764	numeric	116 unique values 0 missing
Var54020	numeric	151 unique values 0 missing
Var54276	numeric	138 unique values 0 missing
Var54532	numeric	134 unique values 0 missing
Var54788	numeric	146 unique values 0 missing
Var55044	numeric	131 unique values 0 missing
Var55300	numeric	126 unique values 0 missing
Var55556	numeric	146 unique values 0 missing
Var55812	numeric	121 unique values 0 missing
Var56068	numeric	140 unique values 0 missing
Var56324	numeric	142 unique values 0 missing
Var56580	numeric	133 unique values 0 missing
Var56836	numeric	134 unique values 0 missing
Var57092	numeric	148 unique values 0 missing
Var57348	numeric	118 unique values 0 missing
Var57604	numeric	148 unique values 0 missing
Var57860	numeric	140 unique values 0 missing
Var58116	numeric	130 unique values 0 missing
Var58372	numeric	149 unique values 0 missing
Var58628	numeric	144 unique values 0 missing
Var58884	numeric	138 unique values 0 missing
Var59140	numeric	136 unique values 0 missing
Var59396	numeric	123 unique values 0 missing
Var59652	numeric	138 unique values 0 missing
Var59908	numeric	138 unique values 0 missing
Var60164	numeric	144 unique values 0 missing
Var60420	numeric	144 unique values 0 missing
Var60676	numeric	150 unique values 0 missing
Var60932	numeric	145 unique values 0 missing
Var61188	numeric	136 unique values 0 missing
Var5	numeric	146 unique values 0 missing
Var261	numeric	122 unique values 0 missing
Var517	numeric	148 unique values 0 missing
Var773	numeric	137 unique values 0 missing
Var1029	numeric	126 unique values 0 missing
Var1285	numeric	126 unique values 0 missing
Var1541	numeric	115 unique values 0 missing
Var1797	numeric	139 unique values 0 missing
Var2053	numeric	141 unique values 0 missing
Var2309	numeric	143 unique values 0 missing
Var2565	numeric	152 unique values 0 missing
Var2821	numeric	125 unique values 0 missing
Var3077	numeric	146 unique values 0 missing
Var3333	numeric	154 unique values 0 missing
Var3589	numeric	146 unique values 0 missing
Var3845	numeric	134 unique values 0 missing
Var4101	numeric	93 unique values 0 missing
Var4357	numeric	146 unique values 0 missing
Var4613	numeric	122 unique values 0 missing
Var4869	numeric	118 unique values 0 missing
Var5125	numeric	149 unique values 0 missing
Var5381	numeric	131 unique values 0 missing
Var5637	numeric	125 unique values 0 missing
Var5893	numeric	121 unique values 0 missing
Var6149	numeric	152 unique values 0 missing
Var6405	numeric	137 unique values 0 missing
Var6661	numeric	127 unique values 0 missing
Var6917	numeric	141 unique values 0 missing
Var7173	numeric	146 unique values 0 missing
Var7429	numeric	124 unique values 0 missing
Var7685	numeric	151 unique values 0 missing
Var7941	numeric	114 unique values 0 missing
Var8197	numeric	131 unique values 0 missing
Var8453	numeric	132 unique values 0 missing
Var8709	numeric	151 unique values 0 missing
Var8965	numeric	134 unique values 0 missing
Var9221	numeric	149 unique values 0 missing
Var9477	numeric	135 unique values 0 missing
Var9733	numeric	132 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

159

Number of instances (rows) of the dataset.

NumberOfFeatures

61360

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

61359

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

REPTreeDepth3Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

-0

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

7.14

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

Quartile2SkewnessOfNumericAtts

0.26

Second quartile (Median) of skewness among attributes of the numeric type.

RandomTreeDepth1AUC

0.53

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

385.91

Number of attributes divided by the number of instances.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.14

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1ErrRate

0.47

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-4.37

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

0.05

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

0.48

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

11.72

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.02

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

1.15

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.53

Average class difference between consecutive instances.

RandomTreeDepth2AUC

0.53

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

0.5

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

1.55

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

40.25

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

100

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

4.28

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

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

RandomTreeDepth2ErrRate

0.47

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

-0.05

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

CfsSubsetEval_DecisionStumpErrRate

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

RandomTreeDepth2Kappa

0.05

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

0.48

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

1.58

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

0.64

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

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

RandomTreeDepth3AUC

0.53

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

0.5

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

3.68

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.47

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

-0.11

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.22

Third quartile of standard deviation of attributes of the numeric type.

CfsSubsetEval_NaiveBayesAUC

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

RandomTreeDepth3ErrRate

0.47

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

-0.05

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

2.99

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.5

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesErrRate

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

RandomTreeDepth3Kappa

0.05

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

0.48

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

0.4

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesKappa

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

CfsSubsetEval_kNN1NAUC

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

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

0.5

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1SkewnessOfNumericAtts

-0.03

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_kNN1NErrRate

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

kNN1NAUC

0.48

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

-0.05

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

0.44

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.09

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

0.5

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NKappa

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

kNN1NErrRate

0.51

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

59.75

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.18

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.4

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

0.97

Entropy of the target attribute values.

kNN1NKappa

-0.04

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

0.32

Second quartile (Median) of kurtosis among attributes of the numeric type.

REPTreeDepth2Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

REPTreeDepth3AUC

0.5

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.5

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.81

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

3.6

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3ErrRate

0.4

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.48

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

143.69

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

1.68

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

Show all 107 properties

15 tasks

Supervised Classification on anthracyclineTaxaneChemotherapy

47 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision

Supervised Classification on anthracyclineTaxaneChemotherapy

1 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision

Supervised Classification on anthracyclineTaxaneChemotherapy

0 runs - estimation_procedure: 33% Holdout set - target_feature: Decision

Supervised Data Stream Classification on anthracyclineTaxaneChemotherapy

0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Decision

Clustering on anthracyclineTaxaneChemotherapy