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rsctc2010_6

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. Example datasets for 6 different problems of DNA microarray data analysis and classification. All datasets contain gene expression data 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. Source: http://tunedit.org/challenge/RSCTC-2010-A

59005 features

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Var37379	numeric	89 unique values 0 missing
Var37635	numeric	89 unique values 0 missing
Var37891	numeric	86 unique values 0 missing
Var38147	numeric	88 unique values 0 missing
Var38403	numeric	88 unique values 0 missing
Var38659	numeric	91 unique values 0 missing
Var38915	numeric	87 unique values 0 missing
Var39171	numeric	90 unique values 0 missing
Var39427	numeric	89 unique values 0 missing
Var39683	numeric	86 unique values 0 missing
Var39939	numeric	92 unique values 0 missing
Var40195	numeric	84 unique values 0 missing
Var40451	numeric	91 unique values 0 missing
Var40707	numeric	92 unique values 0 missing
Var40963	numeric	88 unique values 0 missing
Var41219	numeric	87 unique values 0 missing
Var41475	numeric	85 unique values 0 missing
Var41731	numeric	89 unique values 0 missing
Var41987	numeric	89 unique values 0 missing
Var42243	numeric	87 unique values 0 missing
Var42499	numeric	88 unique values 0 missing
Var42755	numeric	87 unique values 0 missing
Var43011	numeric	90 unique values 0 missing
Var43267	numeric	89 unique values 0 missing
Var43523	numeric	89 unique values 0 missing
Var43779	numeric	89 unique values 0 missing
Var44035	numeric	88 unique values 0 missing
Var44291	numeric	90 unique values 0 missing
Var44547	numeric	87 unique values 0 missing
Var44803	numeric	91 unique values 0 missing
Var45059	numeric	86 unique values 0 missing
Var45315	numeric	88 unique values 0 missing
Var45571	numeric	81 unique values 0 missing
Var45827	numeric	90 unique values 0 missing
Var46083	numeric	87 unique values 0 missing
Var46339	numeric	88 unique values 0 missing
Var46595	numeric	89 unique values 0 missing
Var46851	numeric	89 unique values 0 missing
Var47107	numeric	88 unique values 0 missing
Var47363	numeric	89 unique values 0 missing
Var47619	numeric	89 unique values 0 missing
Var47875	numeric	88 unique values 0 missing
Var48131	numeric	87 unique values 0 missing
Var48387	numeric	92 unique values 0 missing
Var48643	numeric	87 unique values 0 missing
Var48899	numeric	90 unique values 0 missing
Var49155	numeric	85 unique values 0 missing
Var49411	numeric	86 unique values 0 missing
Var49667	numeric	87 unique values 0 missing
Var49923	numeric	89 unique values 0 missing
Var50179	numeric	90 unique values 0 missing
Var50435	numeric	87 unique values 0 missing
Var50691	numeric	83 unique values 0 missing
Var50947	numeric	91 unique values 0 missing
Var51203	numeric	88 unique values 0 missing
Var51459	numeric	87 unique values 0 missing
Var51715	numeric	89 unique values 0 missing
Var51971	numeric	87 unique values 0 missing
Var52227	numeric	86 unique values 0 missing
Var52483	numeric	90 unique values 0 missing
Var52739	numeric	89 unique values 0 missing
Var52995	numeric	88 unique values 0 missing
Var53251	numeric	84 unique values 0 missing
Var53507	numeric	85 unique values 0 missing
Var53763	numeric	90 unique values 0 missing
Var54019	numeric	87 unique values 0 missing
Var54275	numeric	87 unique values 0 missing
Var54531	numeric	85 unique values 0 missing
Var54787	numeric	89 unique values 0 missing
Var55043	numeric	90 unique values 0 missing
Var55299	numeric	90 unique values 0 missing
Var55555	numeric	86 unique values 0 missing
Var55811	numeric	83 unique values 0 missing
Var56067	numeric	90 unique values 0 missing
Var56323	numeric	89 unique values 0 missing
Var56579	numeric	87 unique values 0 missing
Var56835	numeric	87 unique values 0 missing
Var57091	numeric	88 unique values 0 missing
Var57347	numeric	89 unique values 0 missing
Var57603	numeric	85 unique values 0 missing
Var57859	numeric	90 unique values 0 missing
Var58115	numeric	90 unique values 0 missing
Var58371	numeric	86 unique values 0 missing
Var58627	numeric	89 unique values 0 missing
Var58883	numeric	84 unique values 0 missing
Var4	numeric	92 unique values 0 missing
Var260	numeric	91 unique values 0 missing
Var516	numeric	90 unique values 0 missing
Var772	numeric	86 unique values 0 missing
Var1028	numeric	86 unique values 0 missing
Var1284	numeric	90 unique values 0 missing
Var1540	numeric	87 unique values 0 missing
Var1796	numeric	91 unique values 0 missing
Var2052	numeric	89 unique values 0 missing
Var2308	numeric	87 unique values 0 missing
Var2564	numeric	89 unique values 0 missing
Var2820	numeric	91 unique values 0 missing
Var3076	numeric	87 unique values 0 missing
Var3332	numeric	86 unique values 0 missing
Var3588	numeric	90 unique values 0 missing
Var3844	numeric	88 unique values 0 missing
Var4100	numeric	89 unique values 0 missing
Var4356	numeric	88 unique values 0 missing
Var4612	numeric	85 unique values 0 missing
Var4868	numeric	89 unique values 0 missing
Var5124	numeric	90 unique values 0 missing
Var5380	numeric	88 unique values 0 missing
Var5636	numeric	84 unique values 0 missing
Var5892	numeric	91 unique values 0 missing
Var6148	numeric	89 unique values 0 missing
Var6404	numeric	87 unique values 0 missing
Var6660	numeric	90 unique values 0 missing
Var6916	numeric	85 unique values 0 missing
Var7172	numeric	86 unique values 0 missing
Var7428	numeric	87 unique values 0 missing
Var7684	numeric	85 unique values 0 missing
Var7940	numeric	87 unique values 0 missing
Var8196	numeric	89 unique values 0 missing
Var8452	numeric	87 unique values 0 missing
Var8708	numeric	90 unique values 0 missing
Var8964	numeric	92 unique values 0 missing
Var9220	numeric	89 unique values 0 missing
Var9476	numeric	89 unique values 0 missing
Var9732	numeric	90 unique values 0 missing
Var9988	numeric	90 unique values 0 missing
Var10244	numeric	87 unique values 0 missing
Var10500	numeric	91 unique values 0 missing
Var10756	numeric	88 unique values 0 missing
Var11012	numeric	91 unique values 0 missing
Var11268	numeric	88 unique values 0 missing
Var11524	numeric	91 unique values 0 missing
Var11780	numeric	89 unique values 0 missing
Var12036	numeric	90 unique values 0 missing
Var12292	numeric	89 unique values 0 missing
Var12548	numeric	91 unique values 0 missing
Var12804	numeric	90 unique values 0 missing
Var13060	numeric	87 unique values 0 missing
Var13316	numeric	85 unique values 0 missing
Var13572	numeric	86 unique values 0 missing
Var13828	numeric	89 unique values 0 missing
Var14084	numeric	89 unique values 0 missing
Var14340	numeric	87 unique values 0 missing
Var14596	numeric	83 unique values 0 missing
Var14852	numeric	82 unique values 0 missing
Var15108	numeric	91 unique values 0 missing
Var15364	numeric	92 unique values 0 missing
Var15620	numeric	91 unique values 0 missing
Var15876	numeric	92 unique values 0 missing
Var16132	numeric	87 unique values 0 missing
Var16388	numeric	87 unique values 0 missing
Var16644	numeric	91 unique values 0 missing
Var16900	numeric	89 unique values 0 missing
Var17156	numeric	86 unique values 0 missing
Var17412	numeric	85 unique values 0 missing
Var17668	numeric	89 unique values 0 missing
Var17924	numeric	90 unique values 0 missing
Var18180	numeric	89 unique values 0 missing
Var18436	numeric	88 unique values 0 missing
Var18692	numeric	84 unique values 0 missing
Var18948	numeric	91 unique values 0 missing
Var19204	numeric	80 unique values 0 missing
Var19460	numeric	87 unique values 0 missing
Var19716	numeric	88 unique values 0 missing
Var19972	numeric	90 unique values 0 missing
Var20228	numeric	87 unique values 0 missing
Var20484	numeric	91 unique values 0 missing
Var20740	numeric	90 unique values 0 missing
Var20996	numeric	88 unique values 0 missing
Var21252	numeric	90 unique values 0 missing
Var21508	numeric	89 unique values 0 missing
Var21764	numeric	88 unique values 0 missing
Var22020	numeric	91 unique values 0 missing
Var22276	numeric	87 unique values 0 missing
Var22532	numeric	88 unique values 0 missing
Var22788	numeric	90 unique values 0 missing
Var23044	numeric	91 unique values 0 missing
Var23300	numeric	86 unique values 0 missing
Var23556	numeric	84 unique values 0 missing
Var23812	numeric	89 unique values 0 missing
Var24068	numeric	87 unique values 0 missing
Var24324	numeric	90 unique values 0 missing
Var24580	numeric	91 unique values 0 missing
Var24836	numeric	89 unique values 0 missing
Var25092	numeric	90 unique values 0 missing
Var25348	numeric	85 unique values 0 missing
Var25604	numeric	92 unique values 0 missing
Var25860	numeric	92 unique values 0 missing
Var26116	numeric	91 unique values 0 missing
Var26372	numeric	85 unique values 0 missing
Var26628	numeric	89 unique values 0 missing
Var26884	numeric	86 unique values 0 missing
Var27140	numeric	92 unique values 0 missing
Var27396	numeric	88 unique values 0 missing
Var27652	numeric	91 unique values 0 missing
Var27908	numeric	89 unique values 0 missing
Var28164	numeric	87 unique values 0 missing
Var28420	numeric	91 unique values 0 missing
Var28676	numeric	89 unique values 0 missing
Var28932	numeric	91 unique values 0 missing
Var29188	numeric	87 unique values 0 missing
Var29444	numeric	89 unique values 0 missing
Var29700	numeric	87 unique values 0 missing
Var29956	numeric	90 unique values 0 missing
Var30212	numeric	88 unique values 0 missing
Var30468	numeric	87 unique values 0 missing
Var30724	numeric	88 unique values 0 missing
Var30980	numeric	91 unique values 0 missing
Var31236	numeric	89 unique values 0 missing
Var31492	numeric	87 unique values 0 missing
Var31748	numeric	90 unique values 0 missing
Var32004	numeric	87 unique values 0 missing
Var32260	numeric	89 unique values 0 missing
Var32516	numeric	88 unique values 0 missing
Var32772	numeric	89 unique values 0 missing
Var33028	numeric	91 unique values 0 missing
Var33284	numeric	89 unique values 0 missing
Var33540	numeric	87 unique values 0 missing
Var33796	numeric	86 unique values 0 missing
Var34052	numeric	90 unique values 0 missing
Var34308	numeric	88 unique values 0 missing
Var34564	numeric	89 unique values 0 missing
Var34820	numeric	84 unique values 0 missing
Var35076	numeric	88 unique values 0 missing
Var35332	numeric	90 unique values 0 missing
Var35588	numeric	88 unique values 0 missing
Var35844	numeric	89 unique values 0 missing
Var36100	numeric	88 unique values 0 missing
Var36356	numeric	89 unique values 0 missing
Var36612	numeric	89 unique values 0 missing
Var36868	numeric	85 unique values 0 missing
Var37124	numeric	85 unique values 0 missing
Var37380	numeric	84 unique values 0 missing
Var37636	numeric	91 unique values 0 missing
Var37892	numeric	88 unique values 0 missing
Var38148	numeric	90 unique values 0 missing
Var38404	numeric	90 unique values 0 missing
Var38660	numeric	87 unique values 0 missing
Var38916	numeric	89 unique values 0 missing
Var39172	numeric	86 unique values 0 missing
Var39428	numeric	83 unique values 0 missing
Var39684	numeric	92 unique values 0 missing
Var39940	numeric	90 unique values 0 missing
Var40196	numeric	86 unique values 0 missing
Var40452	numeric	88 unique values 0 missing
Var40708	numeric	84 unique values 0 missing
Var40964	numeric	86 unique values 0 missing
Var41220	numeric	87 unique values 0 missing
Var41476	numeric	86 unique values 0 missing
Var41732	numeric	89 unique values 0 missing
Var41988	numeric	84 unique values 0 missing
Var42244	numeric	87 unique values 0 missing
Var42500	numeric	91 unique values 0 missing
Var42756	numeric	89 unique values 0 missing
Var43012	numeric	91 unique values 0 missing
Var43268	numeric	86 unique values 0 missing
Var43524	numeric	89 unique values 0 missing
Var43780	numeric	89 unique values 0 missing
Var44036	numeric	88 unique values 0 missing
Var44292	numeric	91 unique values 0 missing
Var44548	numeric	88 unique values 0 missing
Var44804	numeric	87 unique values 0 missing
Var45060	numeric	91 unique values 0 missing
Var45316	numeric	89 unique values 0 missing
Var45572	numeric	89 unique values 0 missing
Var45828	numeric	88 unique values 0 missing
Var46084	numeric	81 unique values 0 missing
Var46340	numeric	86 unique values 0 missing
Var46596	numeric	87 unique values 0 missing
Var46852	numeric	91 unique values 0 missing
Var47108	numeric	91 unique values 0 missing
Var47364	numeric	90 unique values 0 missing
Var47620	numeric	87 unique values 0 missing
Var47876	numeric	86 unique values 0 missing
Var48132	numeric	92 unique values 0 missing
Var48388	numeric	91 unique values 0 missing
Var48644	numeric	89 unique values 0 missing
Var48900	numeric	90 unique values 0 missing
Var49156	numeric	88 unique values 0 missing
Var49412	numeric	85 unique values 0 missing
Var49668	numeric	89 unique values 0 missing
Var49924	numeric	91 unique values 0 missing
Var50180	numeric	87 unique values 0 missing
Var50436	numeric	89 unique values 0 missing
Var50692	numeric	88 unique values 0 missing
Var50948	numeric	88 unique values 0 missing
Var51204	numeric	84 unique values 0 missing
Var51460	numeric	87 unique values 0 missing
Var51716	numeric	85 unique values 0 missing
Var51972	numeric	89 unique values 0 missing
Var52228	numeric	82 unique values 0 missing
Var52484	numeric	91 unique values 0 missing
Var52740	numeric	85 unique values 0 missing
Var52996	numeric	88 unique values 0 missing
Var53252	numeric	89 unique values 0 missing
Var53508	numeric	91 unique values 0 missing
Var53764	numeric	91 unique values 0 missing
Var54020	numeric	90 unique values 0 missing
Var54276	numeric	87 unique values 0 missing
Var54532	numeric	84 unique values 0 missing
Var54788	numeric	91 unique values 0 missing
Var55044	numeric	88 unique values 0 missing
Var55300	numeric	84 unique values 0 missing
Var55556	numeric	92 unique values 0 missing
Var55812	numeric	87 unique values 0 missing
Var56068	numeric	87 unique values 0 missing
Var56324	numeric	79 unique values 0 missing
Var56580	numeric	89 unique values 0 missing
Var56836	numeric	83 unique values 0 missing
Var57092	numeric	91 unique values 0 missing
Var57348	numeric	90 unique values 0 missing
Var57604	numeric	89 unique values 0 missing
Var57860	numeric	90 unique values 0 missing
Var58116	numeric	85 unique values 0 missing
Var58372	numeric	90 unique values 0 missing
Var58628	numeric	91 unique values 0 missing
Var58884	numeric	89 unique values 0 missing
Var5	numeric	89 unique values 0 missing
Var261	numeric	87 unique values 0 missing
Var517	numeric	87 unique values 0 missing
Var773	numeric	88 unique values 0 missing
Var1029	numeric	86 unique values 0 missing
Var1285	numeric	86 unique values 0 missing
Var1541	numeric	91 unique values 0 missing
Var1797	numeric	85 unique values 0 missing
Var2053	numeric	86 unique values 0 missing
Var2309	numeric	83 unique values 0 missing
Var2565	numeric	87 unique values 0 missing
Var2821	numeric	90 unique values 0 missing
Var3077	numeric	77 unique values 0 missing
Var3333	numeric	88 unique values 0 missing
Var3589	numeric	89 unique values 0 missing
Var3845	numeric	86 unique values 0 missing
Var4101	numeric	90 unique values 0 missing
Var4357	numeric	88 unique values 0 missing
Var4613	numeric	82 unique values 0 missing
Var4869	numeric	87 unique values 0 missing
Var5125	numeric	87 unique values 0 missing
Var5381	numeric	91 unique values 0 missing
Var5637	numeric	84 unique values 0 missing
Var5893	numeric	86 unique values 0 missing
Var6149	numeric	88 unique values 0 missing
Var6405	numeric	92 unique values 0 missing
Var6661	numeric	92 unique values 0 missing
Var6917	numeric	89 unique values 0 missing
Var7173	numeric	88 unique values 0 missing
Var7429	numeric	86 unique values 0 missing
Var7685	numeric	90 unique values 0 missing
Var7941	numeric	91 unique values 0 missing
Var8197	numeric	87 unique values 0 missing
Var8453	numeric	88 unique values 0 missing
Var8709	numeric	89 unique values 0 missing
Var8965	numeric	87 unique values 0 missing
Var9221	numeric	89 unique values 0 missing
Var9477	numeric	88 unique values 0 missing
Var9733	numeric	88 unique values 0 missing
Var9989	numeric	86 unique values 0 missing
Var10245	numeric	85 unique values 0 missing
Var10501	numeric	89 unique values 0 missing
Var10757	numeric	89 unique values 0 missing
Var11013	numeric	89 unique values 0 missing
Var11269	numeric	91 unique values 0 missing
Var11525	numeric	90 unique values 0 missing
Var11781	numeric	89 unique values 0 missing
Var12037	numeric	92 unique values 0 missing
Var12293	numeric	85 unique values 0 missing
Var12549	numeric	86 unique values 0 missing
Var12805	numeric	89 unique values 0 missing
Var13061	numeric	87 unique values 0 missing
Var13317	numeric	86 unique values 0 missing
Var13573	numeric	87 unique values 0 missing
Var13829	numeric	86 unique values 0 missing
Var14085	numeric	87 unique values 0 missing
Var14341	numeric	91 unique values 0 missing
Var14597	numeric	88 unique values 0 missing
Var14853	numeric	84 unique values 0 missing
Var15109	numeric	88 unique values 0 missing
Var15365	numeric	88 unique values 0 missing
Var15621	numeric	86 unique values 0 missing
Var15877	numeric	89 unique values 0 missing
Var16133	numeric	84 unique values 0 missing
Var16389	numeric	91 unique values 0 missing
Var16645	numeric	85 unique values 0 missing
Var16901	numeric	90 unique values 0 missing
Var17157	numeric	84 unique values 0 missing
Var17413	numeric	87 unique values 0 missing
Var17669	numeric	82 unique values 0 missing
Var17925	numeric	90 unique values 0 missing
Var18181	numeric	92 unique values 0 missing
Var18437	numeric	87 unique values 0 missing
Var18693	numeric	89 unique values 0 missing
Var18949	numeric	91 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

Number of instances (rows) of the dataset.

NumberOfFeatures

59005

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

59004

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.52

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

RandomTreeDepth2ErrRate

0.45

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

J48.00001.Kappa

0.32

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.

Quartile3SkewnessOfNumericAtts

0.58

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.23

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

RandomTreeDepth2Kappa

0.25

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

J48.0001.AUC

0.69

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

MeanKurtosisOfNumericAtts

1.09

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.58

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3StdDevOfNumericAtts

0.48

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

CfsSubsetEval_NaiveBayesAUC

0.63

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

RandomTreeDepth3AUC

0.61

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

J48.0001.ErrRate

0.47

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

MeanMeansOfNumericAtts

1.85

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.36

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

Quartile1KurtosisOfNumericAtts

-0.23

First quartile of kurtosis among attributes of the numeric type.

REPTreeDepth1AUC

0.48

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

CfsSubsetEval_NaiveBayesErrRate

0.52

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

RandomTreeDepth3ErrRate

0.45

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

J48.0001.Kappa

0.32

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

0.21

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

Quartile1MeansOfNumericAtts

1.2

First quartile of means among attributes of the numeric type.

REPTreeDepth1ErrRate

0.42

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

CfsSubsetEval_NaiveBayesKappa

0.23

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

RandomTreeDepth3Kappa

0.25

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

J48.001.AUC

0.69

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.

REPTreeDepth1Kappa

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

CfsSubsetEval_kNN1NAUC

0.63

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

0.47

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

0.02

First quartile of skewness among attributes of the numeric type.

REPTreeDepth2AUC

0.48

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

CfsSubsetEval_kNN1NErrRate

0.52

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

0.67

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

J48.001.Kappa

0.32

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

MeanSkewnessOfNumericAtts

0.39

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.26

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

REPTreeDepth2ErrRate

0.42

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

CfsSubsetEval_kNN1NKappa

0.23

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

0.45

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

MajorityClassPercentage

57.61

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.39

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

0.18

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

REPTreeDepth2Kappa

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

ClassEntropy

1.8

Entropy of the target attribute values.

kNN1NKappa

0.34

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.

Quartile2MeansOfNumericAtts

1.69

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

REPTreeDepth3AUC

0.48

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

DecisionStumpAUC

0.61

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.43

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.42

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

DecisionStumpErrRate

0.42

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

MaxKurtosisOfNumericAtts

87.86

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

0.05

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

0.29

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

REPTreeDepth3Kappa

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

DecisionStumpKappa

0.15

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

MaxMeansOfNumericAtts

8.07

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2StdDevOfNumericAtts

0.35

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

RandomTreeDepth1AUC

0.61

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

Dimensionality

641.36

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.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.45

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

-1.89

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3KurtosisOfNumericAtts

0.84

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.36

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.25

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

J48.00001.AUC

0.69

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

MaxSkewnessOfNumericAtts

9.27

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.03

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3MeansOfNumericAtts

2.34

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.63

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

RandomTreeDepth2AUC

0.61

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

J48.00001.ErrRate

0.47

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

MaxStdDevOfNumericAtts

2.67

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

7.61

Percentage of instances belonging to the least frequent class.