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rsctc2010_5

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

54614 features

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Var46083	numeric	84 unique values 0 missing
Var46339	numeric	82 unique values 0 missing
Var46595	numeric	83 unique values 0 missing
Var46851	numeric	88 unique values 0 missing
Var47107	numeric	86 unique values 0 missing
Var47363	numeric	81 unique values 0 missing
Var47619	numeric	85 unique values 0 missing
Var47875	numeric	86 unique values 0 missing
Var48131	numeric	86 unique values 0 missing
Var48387	numeric	81 unique values 0 missing
Var48643	numeric	83 unique values 0 missing
Var48899	numeric	84 unique values 0 missing
Var49155	numeric	74 unique values 0 missing
Var49411	numeric	84 unique values 0 missing
Var49667	numeric	88 unique values 0 missing
Var49923	numeric	84 unique values 0 missing
Var50179	numeric	87 unique values 0 missing
Var50435	numeric	85 unique values 0 missing
Var50691	numeric	85 unique values 0 missing
Var50947	numeric	86 unique values 0 missing
Var51203	numeric	80 unique values 0 missing
Var51459	numeric	86 unique values 0 missing
Var51715	numeric	85 unique values 0 missing
Var51971	numeric	84 unique values 0 missing
Var52227	numeric	89 unique values 0 missing
Var52483	numeric	87 unique values 0 missing
Var52739	numeric	88 unique values 0 missing
Var52995	numeric	82 unique values 0 missing
Var53251	numeric	81 unique values 0 missing
Var53507	numeric	84 unique values 0 missing
Var53763	numeric	87 unique values 0 missing
Var54019	numeric	87 unique values 0 missing
Var54275	numeric	89 unique values 0 missing
Var54531	numeric	87 unique values 0 missing
Var4	numeric	87 unique values 0 missing
Var260	numeric	83 unique values 0 missing
Var516	numeric	86 unique values 0 missing
Var772	numeric	42 unique values 0 missing
Var1028	numeric	82 unique values 0 missing
Var1284	numeric	79 unique values 0 missing
Var1540	numeric	82 unique values 0 missing
Var1796	numeric	85 unique values 0 missing
Var2052	numeric	86 unique values 0 missing
Var2308	numeric	89 unique values 0 missing
Var2564	numeric	81 unique values 0 missing
Var2820	numeric	84 unique values 0 missing
Var3076	numeric	85 unique values 0 missing
Var3332	numeric	89 unique values 0 missing
Var3588	numeric	85 unique values 0 missing
Var3844	numeric	84 unique values 0 missing
Var4100	numeric	80 unique values 0 missing
Var4356	numeric	85 unique values 0 missing
Var4612	numeric	85 unique values 0 missing
Var4868	numeric	78 unique values 0 missing
Var5124	numeric	83 unique values 0 missing
Var5380	numeric	86 unique values 0 missing
Var5636	numeric	87 unique values 0 missing
Var5892	numeric	83 unique values 0 missing
Var6148	numeric	80 unique values 0 missing
Var6404	numeric	85 unique values 0 missing
Var6660	numeric	88 unique values 0 missing
Var6916	numeric	80 unique values 0 missing
Var7172	numeric	76 unique values 0 missing
Var7428	numeric	86 unique values 0 missing
Var7684	numeric	85 unique values 0 missing
Var7940	numeric	87 unique values 0 missing
Var8196	numeric	85 unique values 0 missing
Var8452	numeric	84 unique values 0 missing
Var8708	numeric	86 unique values 0 missing
Var8964	numeric	83 unique values 0 missing
Var9220	numeric	83 unique values 0 missing
Var9476	numeric	77 unique values 0 missing
Var9732	numeric	85 unique values 0 missing
Var9988	numeric	81 unique values 0 missing
Var10244	numeric	85 unique values 0 missing
Var10500	numeric	85 unique values 0 missing
Var10756	numeric	85 unique values 0 missing
Var11012	numeric	83 unique values 0 missing
Var11268	numeric	83 unique values 0 missing
Var11524	numeric	83 unique values 0 missing
Var11780	numeric	84 unique values 0 missing
Var12036	numeric	78 unique values 0 missing
Var12292	numeric	85 unique values 0 missing
Var12548	numeric	79 unique values 0 missing
Var12804	numeric	87 unique values 0 missing
Var13060	numeric	86 unique values 0 missing
Var13316	numeric	82 unique values 0 missing
Var13572	numeric	81 unique values 0 missing
Var13828	numeric	86 unique values 0 missing
Var14084	numeric	82 unique values 0 missing
Var14340	numeric	86 unique values 0 missing
Var14596	numeric	84 unique values 0 missing
Var14852	numeric	84 unique values 0 missing
Var15108	numeric	87 unique values 0 missing
Var15364	numeric	88 unique values 0 missing
Var15620	numeric	85 unique values 0 missing
Var15876	numeric	76 unique values 0 missing
Var16132	numeric	83 unique values 0 missing
Var16388	numeric	85 unique values 0 missing
Var16644	numeric	81 unique values 0 missing
Var16900	numeric	85 unique values 0 missing
Var17156	numeric	83 unique values 0 missing
Var17412	numeric	85 unique values 0 missing
Var17668	numeric	79 unique values 0 missing
Var17924	numeric	78 unique values 0 missing
Var18180	numeric	67 unique values 0 missing
Var18436	numeric	87 unique values 0 missing
Var18692	numeric	65 unique values 0 missing
Var18948	numeric	83 unique values 0 missing
Var19204	numeric	86 unique values 0 missing
Var19460	numeric	82 unique values 0 missing
Var19716	numeric	77 unique values 0 missing
Var19972	numeric	83 unique values 0 missing
Var20228	numeric	87 unique values 0 missing
Var20484	numeric	79 unique values 0 missing
Var20740	numeric	85 unique values 0 missing
Var20996	numeric	86 unique values 0 missing
Var21252	numeric	85 unique values 0 missing
Var21508	numeric	88 unique values 0 missing
Var21764	numeric	83 unique values 0 missing
Var22020	numeric	80 unique values 0 missing
Var22276	numeric	76 unique values 0 missing
Var22532	numeric	85 unique values 0 missing
Var22788	numeric	87 unique values 0 missing
Var23044	numeric	86 unique values 0 missing
Var23300	numeric	82 unique values 0 missing
Var23556	numeric	82 unique values 0 missing
Var23812	numeric	84 unique values 0 missing
Var24068	numeric	83 unique values 0 missing
Var24324	numeric	86 unique values 0 missing
Var24580	numeric	83 unique values 0 missing
Var24836	numeric	86 unique values 0 missing
Var25092	numeric	82 unique values 0 missing
Var25348	numeric	86 unique values 0 missing
Var25604	numeric	85 unique values 0 missing
Var25860	numeric	84 unique values 0 missing
Var26116	numeric	87 unique values 0 missing
Var26372	numeric	89 unique values 0 missing
Var26628	numeric	88 unique values 0 missing
Var26884	numeric	84 unique values 0 missing
Var27140	numeric	84 unique values 0 missing
Var27396	numeric	83 unique values 0 missing
Var27652	numeric	78 unique values 0 missing
Var27908	numeric	84 unique values 0 missing
Var28164	numeric	81 unique values 0 missing
Var28420	numeric	86 unique values 0 missing
Var28676	numeric	71 unique values 0 missing
Var28932	numeric	85 unique values 0 missing
Var29188	numeric	73 unique values 0 missing
Var29444	numeric	81 unique values 0 missing
Var29700	numeric	81 unique values 0 missing
Var29956	numeric	86 unique values 0 missing
Var30212	numeric	81 unique values 0 missing
Var30468	numeric	81 unique values 0 missing
Var30724	numeric	87 unique values 0 missing
Var30980	numeric	82 unique values 0 missing
Var31236	numeric	85 unique values 0 missing
Var31492	numeric	84 unique values 0 missing
Var31748	numeric	85 unique values 0 missing
Var32004	numeric	83 unique values 0 missing
Var32260	numeric	50 unique values 0 missing
Var32516	numeric	85 unique values 0 missing
Var32772	numeric	87 unique values 0 missing
Var33028	numeric	86 unique values 0 missing
Var33284	numeric	86 unique values 0 missing
Var33540	numeric	84 unique values 0 missing
Var33796	numeric	85 unique values 0 missing
Var34052	numeric	89 unique values 0 missing
Var34308	numeric	79 unique values 0 missing
Var34564	numeric	85 unique values 0 missing
Var34820	numeric	80 unique values 0 missing
Var35076	numeric	83 unique values 0 missing
Var35332	numeric	87 unique values 0 missing
Var35588	numeric	85 unique values 0 missing
Var35844	numeric	86 unique values 0 missing
Var36100	numeric	84 unique values 0 missing
Var36356	numeric	81 unique values 0 missing
Var36612	numeric	82 unique values 0 missing
Var36868	numeric	84 unique values 0 missing
Var37124	numeric	80 unique values 0 missing
Var37380	numeric	84 unique values 0 missing
Var37636	numeric	83 unique values 0 missing
Var37892	numeric	83 unique values 0 missing
Var38148	numeric	85 unique values 0 missing
Var38404	numeric	82 unique values 0 missing
Var38660	numeric	83 unique values 0 missing
Var38916	numeric	81 unique values 0 missing
Var39172	numeric	83 unique values 0 missing
Var39428	numeric	85 unique values 0 missing
Var39684	numeric	85 unique values 0 missing
Var39940	numeric	83 unique values 0 missing
Var40196	numeric	84 unique values 0 missing
Var40452	numeric	87 unique values 0 missing
Var40708	numeric	81 unique values 0 missing
Var40964	numeric	84 unique values 0 missing
Var41220	numeric	52 unique values 0 missing
Var41476	numeric	82 unique values 0 missing
Var41732	numeric	87 unique values 0 missing
Var41988	numeric	86 unique values 0 missing
Var42244	numeric	84 unique values 0 missing
Var42500	numeric	86 unique values 0 missing
Var42756	numeric	84 unique values 0 missing
Var43012	numeric	87 unique values 0 missing
Var43268	numeric	83 unique values 0 missing
Var43524	numeric	82 unique values 0 missing
Var43780	numeric	85 unique values 0 missing
Var44036	numeric	88 unique values 0 missing
Var44292	numeric	78 unique values 0 missing
Var44548	numeric	87 unique values 0 missing
Var44804	numeric	76 unique values 0 missing
Var45060	numeric	83 unique values 0 missing
Var45316	numeric	80 unique values 0 missing
Var45572	numeric	85 unique values 0 missing
Var45828	numeric	81 unique values 0 missing
Var46084	numeric	83 unique values 0 missing
Var46340	numeric	86 unique values 0 missing
Var46596	numeric	83 unique values 0 missing
Var46852	numeric	88 unique values 0 missing
Var47108	numeric	85 unique values 0 missing
Var47364	numeric	88 unique values 0 missing
Var47620	numeric	86 unique values 0 missing
Var47876	numeric	86 unique values 0 missing
Var48132	numeric	81 unique values 0 missing
Var48388	numeric	82 unique values 0 missing
Var48644	numeric	65 unique values 0 missing
Var48900	numeric	81 unique values 0 missing
Var49156	numeric	85 unique values 0 missing
Var49412	numeric	86 unique values 0 missing
Var49668	numeric	87 unique values 0 missing
Var49924	numeric	83 unique values 0 missing
Var50180	numeric	85 unique values 0 missing
Var50436	numeric	86 unique values 0 missing
Var50692	numeric	81 unique values 0 missing
Var50948	numeric	86 unique values 0 missing
Var51204	numeric	89 unique values 0 missing
Var51460	numeric	84 unique values 0 missing
Var51716	numeric	82 unique values 0 missing
Var51972	numeric	85 unique values 0 missing
Var52228	numeric	85 unique values 0 missing
Var52484	numeric	82 unique values 0 missing
Var52740	numeric	83 unique values 0 missing
Var52996	numeric	79 unique values 0 missing
Var53252	numeric	77 unique values 0 missing
Var53508	numeric	85 unique values 0 missing
Var53764	numeric	86 unique values 0 missing
Var54020	numeric	86 unique values 0 missing
Var54276	numeric	85 unique values 0 missing
Var54532	numeric	76 unique values 0 missing
Var5	numeric	85 unique values 0 missing
Var261	numeric	72 unique values 0 missing
Var517	numeric	88 unique values 0 missing
Var773	numeric	83 unique values 0 missing
Var1029	numeric	85 unique values 0 missing
Var1285	numeric	76 unique values 0 missing
Var1541	numeric	85 unique values 0 missing
Var1797	numeric	89 unique values 0 missing
Var2053	numeric	84 unique values 0 missing
Var2309	numeric	86 unique values 0 missing
Var2565	numeric	86 unique values 0 missing
Var2821	numeric	56 unique values 0 missing
Var3077	numeric	88 unique values 0 missing
Var3333	numeric	87 unique values 0 missing
Var3589	numeric	80 unique values 0 missing
Var3845	numeric	81 unique values 0 missing
Var4101	numeric	88 unique values 0 missing
Var4357	numeric	87 unique values 0 missing
Var4613	numeric	83 unique values 0 missing
Var4869	numeric	88 unique values 0 missing
Var5125	numeric	86 unique values 0 missing
Var5381	numeric	85 unique values 0 missing
Var5637	numeric	82 unique values 0 missing
Var5893	numeric	78 unique values 0 missing
Var6149	numeric	86 unique values 0 missing
Var6405	numeric	86 unique values 0 missing
Var6661	numeric	83 unique values 0 missing
Var6917	numeric	88 unique values 0 missing
Var7173	numeric	85 unique values 0 missing
Var7429	numeric	88 unique values 0 missing
Var7685	numeric	88 unique values 0 missing
Var7941	numeric	81 unique values 0 missing
Var8197	numeric	74 unique values 0 missing
Var8453	numeric	86 unique values 0 missing
Var8709	numeric	82 unique values 0 missing
Var8965	numeric	84 unique values 0 missing
Var9221	numeric	87 unique values 0 missing
Var9477	numeric	81 unique values 0 missing
Var9733	numeric	66 unique values 0 missing
Var9989	numeric	86 unique values 0 missing
Var10245	numeric	84 unique values 0 missing
Var10501	numeric	82 unique values 0 missing
Var10757	numeric	80 unique values 0 missing
Var11013	numeric	87 unique values 0 missing
Var11269	numeric	84 unique values 0 missing
Var11525	numeric	86 unique values 0 missing
Var11781	numeric	76 unique values 0 missing
Var12037	numeric	79 unique values 0 missing
Var12293	numeric	79 unique values 0 missing
Var12549	numeric	82 unique values 0 missing
Var12805	numeric	81 unique values 0 missing
Var13061	numeric	86 unique values 0 missing
Var13317	numeric	77 unique values 0 missing
Var13573	numeric	78 unique values 0 missing
Var13829	numeric	86 unique values 0 missing
Var14085	numeric	82 unique values 0 missing
Var14341	numeric	81 unique values 0 missing
Var14597	numeric	86 unique values 0 missing
Var14853	numeric	87 unique values 0 missing
Var15109	numeric	85 unique values 0 missing
Var15365	numeric	80 unique values 0 missing
Var15621	numeric	86 unique values 0 missing
Var15877	numeric	76 unique values 0 missing
Var16133	numeric	82 unique values 0 missing
Var16389	numeric	87 unique values 0 missing
Var16645	numeric	76 unique values 0 missing
Var16901	numeric	81 unique values 0 missing
Var17157	numeric	83 unique values 0 missing
Var17413	numeric	80 unique values 0 missing
Var17669	numeric	85 unique values 0 missing
Var17925	numeric	87 unique values 0 missing
Var18181	numeric	89 unique values 0 missing
Var18437	numeric	86 unique values 0 missing
Var18693	numeric	85 unique values 0 missing
Var18949	numeric	86 unique values 0 missing
Var19205	numeric	81 unique values 0 missing
Var19461	numeric	82 unique values 0 missing
Var19717	numeric	86 unique values 0 missing
Var19973	numeric	82 unique values 0 missing
Var20229	numeric	74 unique values 0 missing
Var20485	numeric	84 unique values 0 missing
Var20741	numeric	87 unique values 0 missing
Var20997	numeric	78 unique values 0 missing
Var21253	numeric	87 unique values 0 missing
Var21509	numeric	84 unique values 0 missing
Var21765	numeric	77 unique values 0 missing
Var22021	numeric	85 unique values 0 missing
Var22277	numeric	87 unique values 0 missing
Var22533	numeric	85 unique values 0 missing
Var22789	numeric	83 unique values 0 missing
Var23045	numeric	77 unique values 0 missing
Var23301	numeric	87 unique values 0 missing
Var23557	numeric	82 unique values 0 missing
Var23813	numeric	85 unique values 0 missing
Var24069	numeric	88 unique values 0 missing
Var24325	numeric	82 unique values 0 missing
Var24581	numeric	85 unique values 0 missing
Var24837	numeric	64 unique values 0 missing
Var25093	numeric	73 unique values 0 missing
Var25349	numeric	85 unique values 0 missing
Var25605	numeric	78 unique values 0 missing
Var25861	numeric	86 unique values 0 missing
Var26117	numeric	88 unique values 0 missing
Var26373	numeric	88 unique values 0 missing
Var26629	numeric	85 unique values 0 missing
Var26885	numeric	87 unique values 0 missing
Var27141	numeric	85 unique values 0 missing
Var27397	numeric	77 unique values 0 missing
Var27653	numeric	81 unique values 0 missing
Var27909	numeric	86 unique values 0 missing
Var28165	numeric	86 unique values 0 missing
Var28421	numeric	83 unique values 0 missing
Var28677	numeric	83 unique values 0 missing
Var28933	numeric	88 unique values 0 missing
Var29189	numeric	83 unique values 0 missing
Var29445	numeric	82 unique values 0 missing
Var29701	numeric	83 unique values 0 missing
Var29957	numeric	81 unique values 0 missing
Var30213	numeric	76 unique values 0 missing
Var30469	numeric	84 unique values 0 missing
Var30725	numeric	87 unique values 0 missing
Var30981	numeric	86 unique values 0 missing
Var31237	numeric	87 unique values 0 missing
Var31493	numeric	86 unique values 0 missing
Var31749	numeric	83 unique values 0 missing
Var32005	numeric	84 unique values 0 missing
Var32261	numeric	88 unique values 0 missing
Var32517	numeric	86 unique values 0 missing
Var32773	numeric	85 unique values 0 missing
Var33029	numeric	86 unique values 0 missing
Var33285	numeric	83 unique values 0 missing
Var33541	numeric	81 unique values 0 missing
Var33797	numeric	75 unique values 0 missing
Var34053	numeric	83 unique values 0 missing
Var34309	numeric	82 unique values 0 missing
Var34565	numeric	84 unique values 0 missing
Var34821	numeric	86 unique values 0 missing
Var35077	numeric	76 unique values 0 missing
Var35333	numeric	87 unique values 0 missing
Var35589	numeric	86 unique values 0 missing
Var35845	numeric	79 unique values 0 missing
Var36101	numeric	84 unique values 0 missing
Var36357	numeric	85 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

Number of instances (rows) of the dataset.

NumberOfFeatures

54614

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

54613

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

0.49

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2ErrRate

0.58

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

J48.00001.Kappa

0.22

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

0.21

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.26

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

0.13

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

J48.0001.AUC

0.64

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

MeanKurtosisOfNumericAtts

0.93

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.7

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3StdDevOfNumericAtts

0.42

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

CfsSubsetEval_NaiveBayesAUC

0.65

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

0.57

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

J48.0001.ErrRate

0.55

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

MeanMeansOfNumericAtts

3.21

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.38

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

Quartile1KurtosisOfNumericAtts

-0.35

First quartile of kurtosis 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

0.49

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3ErrRate

0.58

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

J48.0001.Kappa

0.22

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

0.39

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

Quartile1MeansOfNumericAtts

2.53

First quartile of means among attributes of the numeric type.

REPTreeDepth1ErrRate

0.52

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

CfsSubsetEval_NaiveBayesKappa

0.26

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

0.13

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

J48.001.AUC

0.64

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

0.65

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

0.55

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

-0.69

First quartile of skewness among attributes of the numeric type.

REPTreeDepth2AUC

0.5

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

CfsSubsetEval_kNN1NErrRate

0.49

Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

kNN1NAUC

0.74

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

J48.001.Kappa

0.22

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

MeanSkewnessOfNumericAtts

-0.24

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.21

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

REPTreeDepth2ErrRate

0.52

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

CfsSubsetEval_kNN1NKappa

0.26

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

0.38

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

MajorityClassPercentage

48.31

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.33

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

0.29

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

1.79

Entropy of the target attribute values.

kNN1NKappa

0.41

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

3.19

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

REPTreeDepth3AUC

0.5

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

DecisionStumpAUC

0.69

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.9

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.52

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

DecisionStumpErrRate

0.47

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

MaxKurtosisOfNumericAtts

70.02

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

0.58

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

-0.21

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

0.28

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

MaxMeansOfNumericAtts

6.37

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2StdDevOfNumericAtts

0.3

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

RandomTreeDepth1AUC

0.57

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

Dimensionality

613.64

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

0.58

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

-7.91

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3KurtosisOfNumericAtts

1.38

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.26

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.13

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

J48.00001.AUC

0.64

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

MaxSkewnessOfNumericAtts

6.51

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.07

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3MeansOfNumericAtts

3.86

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.65

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

0.57

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

J48.00001.ErrRate

0.55

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

MaxStdDevOfNumericAtts

1.95

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

11.24

Percentage of instances belonging to the least frequent class.