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rsctc2010_2

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

22284 features

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Var20743	numeric	94 unique values 0 missing
Var20999	numeric	94 unique values 0 missing
Var21255	numeric	94 unique values 0 missing
Var21511	numeric	93 unique values 0 missing
Var21767	numeric	89 unique values 0 missing
Var22023	numeric	86 unique values 0 missing
Var22279	numeric	96 unique values 0 missing
Var8	numeric	93 unique values 0 missing
Var264	numeric	100 unique values 0 missing
Var520	numeric	94 unique values 0 missing
Var776	numeric	96 unique values 0 missing
Var1032	numeric	90 unique values 0 missing
Var1288	numeric	85 unique values 0 missing
Var1544	numeric	93 unique values 0 missing
Var1800	numeric	97 unique values 0 missing
Var2056	numeric	95 unique values 0 missing
Var2312	numeric	93 unique values 0 missing
Var2568	numeric	97 unique values 0 missing
Var2824	numeric	94 unique values 0 missing
Var3080	numeric	100 unique values 0 missing
Var3336	numeric	96 unique values 0 missing
Var3592	numeric	99 unique values 0 missing
Var3848	numeric	95 unique values 0 missing
Var4104	numeric	92 unique values 0 missing
Var4360	numeric	88 unique values 0 missing
Var4616	numeric	97 unique values 0 missing
Var4872	numeric	94 unique values 0 missing
Var5128	numeric	83 unique values 0 missing
Var5384	numeric	89 unique values 0 missing
Var5640	numeric	93 unique values 0 missing
Var5896	numeric	93 unique values 0 missing
Var6152	numeric	100 unique values 0 missing
Var6408	numeric	87 unique values 0 missing
Var6664	numeric	98 unique values 0 missing
Var6920	numeric	92 unique values 0 missing
Var7176	numeric	92 unique values 0 missing
Var7432	numeric	91 unique values 0 missing
Var7688	numeric	92 unique values 0 missing
Var7944	numeric	91 unique values 0 missing
Var8200	numeric	91 unique values 0 missing
Var8456	numeric	87 unique values 0 missing
Var8712	numeric	91 unique values 0 missing
Var8968	numeric	87 unique values 0 missing
Var9224	numeric	90 unique values 0 missing
Var9480	numeric	91 unique values 0 missing
Var9736	numeric	93 unique values 0 missing
Var9992	numeric	99 unique values 0 missing
Var10248	numeric	91 unique values 0 missing
Var10504	numeric	98 unique values 0 missing
Var10760	numeric	95 unique values 0 missing
Var11016	numeric	94 unique values 0 missing
Var11272	numeric	92 unique values 0 missing
Var11528	numeric	93 unique values 0 missing
Var11784	numeric	89 unique values 0 missing
Var12040	numeric	100 unique values 0 missing
Var12296	numeric	90 unique values 0 missing
Var12552	numeric	95 unique values 0 missing
Var12808	numeric	88 unique values 0 missing
Var13064	numeric	85 unique values 0 missing
Var13320	numeric	87 unique values 0 missing
Var13576	numeric	94 unique values 0 missing
Var13832	numeric	96 unique values 0 missing
Var14088	numeric	89 unique values 0 missing
Var14344	numeric	100 unique values 0 missing
Var14600	numeric	94 unique values 0 missing
Var14856	numeric	94 unique values 0 missing
Var15112	numeric	83 unique values 0 missing
Var15368	numeric	96 unique values 0 missing
Var15624	numeric	96 unique values 0 missing
Var15880	numeric	99 unique values 0 missing
Var16136	numeric	93 unique values 0 missing
Var16392	numeric	97 unique values 0 missing
Var16648	numeric	92 unique values 0 missing
Var16904	numeric	87 unique values 0 missing
Var17160	numeric	91 unique values 0 missing
Var17416	numeric	88 unique values 0 missing
Var17672	numeric	98 unique values 0 missing
Var17928	numeric	89 unique values 0 missing
Var18184	numeric	94 unique values 0 missing
Var18440	numeric	94 unique values 0 missing
Var18696	numeric	94 unique values 0 missing
Var18952	numeric	87 unique values 0 missing
Var19208	numeric	93 unique values 0 missing
Var19464	numeric	91 unique values 0 missing
Var19720	numeric	95 unique values 0 missing
Var19976	numeric	99 unique values 0 missing
Var20232	numeric	94 unique values 0 missing
Var20488	numeric	86 unique values 0 missing
Var20744	numeric	98 unique values 0 missing
Var21000	numeric	100 unique values 0 missing
Var21256	numeric	95 unique values 0 missing
Var21512	numeric	92 unique values 0 missing
Var21768	numeric	98 unique values 0 missing
Var22024	numeric	90 unique values 0 missing
Var22280	numeric	99 unique values 0 missing
Var9	numeric	90 unique values 0 missing
Var265	numeric	88 unique values 0 missing
Var521	numeric	97 unique values 0 missing
Var777	numeric	87 unique values 0 missing
Var1033	numeric	83 unique values 0 missing
Var1289	numeric	89 unique values 0 missing
Var1545	numeric	92 unique values 0 missing
Var1801	numeric	95 unique values 0 missing
Var2057	numeric	99 unique values 0 missing
Var2313	numeric	94 unique values 0 missing
Var2569	numeric	101 unique values 0 missing
Var2825	numeric	96 unique values 0 missing
Var3081	numeric	95 unique values 0 missing
Var3337	numeric	90 unique values 0 missing
Var3593	numeric	84 unique values 0 missing
Var3849	numeric	83 unique values 0 missing
Var4105	numeric	101 unique values 0 missing
Var4361	numeric	85 unique values 0 missing
Var4617	numeric	90 unique values 0 missing
Var4873	numeric	98 unique values 0 missing
Var5129	numeric	86 unique values 0 missing
Var5385	numeric	93 unique values 0 missing
Var5641	numeric	88 unique values 0 missing
Var5897	numeric	92 unique values 0 missing
Var6153	numeric	90 unique values 0 missing
Var6409	numeric	89 unique values 0 missing
Var6665	numeric	93 unique values 0 missing
Var6921	numeric	91 unique values 0 missing
Var7177	numeric	84 unique values 0 missing
Var7433	numeric	87 unique values 0 missing
Var7689	numeric	104 unique values 0 missing
Var7945	numeric	93 unique values 0 missing
Var8201	numeric	80 unique values 0 missing
Var8457	numeric	97 unique values 0 missing
Var8713	numeric	91 unique values 0 missing
Var8969	numeric	76 unique values 0 missing
Var9225	numeric	100 unique values 0 missing
Var9481	numeric	101 unique values 0 missing
Var9737	numeric	93 unique values 0 missing
Var9993	numeric	99 unique values 0 missing
Var10249	numeric	69 unique values 0 missing
Var10505	numeric	95 unique values 0 missing
Var10761	numeric	90 unique values 0 missing
Var11017	numeric	94 unique values 0 missing
Var11273	numeric	87 unique values 0 missing
Var11529	numeric	99 unique values 0 missing
Var11785	numeric	94 unique values 0 missing
Var12041	numeric	94 unique values 0 missing
Var12297	numeric	95 unique values 0 missing
Var12553	numeric	95 unique values 0 missing
Var12809	numeric	98 unique values 0 missing
Var13065	numeric	95 unique values 0 missing
Var13321	numeric	104 unique values 0 missing
Var13577	numeric	85 unique values 0 missing
Var13833	numeric	99 unique values 0 missing
Var14089	numeric	96 unique values 0 missing
Var14345	numeric	93 unique values 0 missing
Var14601	numeric	93 unique values 0 missing
Var14857	numeric	96 unique values 0 missing
Var15113	numeric	92 unique values 0 missing
Var15369	numeric	91 unique values 0 missing
Var15625	numeric	89 unique values 0 missing
Var15881	numeric	100 unique values 0 missing
Var16137	numeric	95 unique values 0 missing
Var16393	numeric	90 unique values 0 missing
Var16649	numeric	92 unique values 0 missing
Var16905	numeric	92 unique values 0 missing
Var17161	numeric	81 unique values 0 missing
Var17417	numeric	99 unique values 0 missing
Var17673	numeric	96 unique values 0 missing
Var17929	numeric	84 unique values 0 missing
Var18185	numeric	89 unique values 0 missing
Var18441	numeric	98 unique values 0 missing
Var18697	numeric	88 unique values 0 missing
Var18953	numeric	93 unique values 0 missing
Var19209	numeric	84 unique values 0 missing
Var19465	numeric	94 unique values 0 missing
Var19721	numeric	98 unique values 0 missing
Var19977	numeric	102 unique values 0 missing
Var20233	numeric	97 unique values 0 missing
Var20489	numeric	87 unique values 0 missing
Var20745	numeric	99 unique values 0 missing
Var21001	numeric	91 unique values 0 missing
Var21257	numeric	97 unique values 0 missing
Var21513	numeric	89 unique values 0 missing
Var21769	numeric	89 unique values 0 missing
Var22025	numeric	90 unique values 0 missing
Var22281	numeric	92 unique values 0 missing
Var10	numeric	101 unique values 0 missing
Var266	numeric	98 unique values 0 missing
Var522	numeric	88 unique values 0 missing
Var778	numeric	98 unique values 0 missing
Var1034	numeric	97 unique values 0 missing
Var1290	numeric	100 unique values 0 missing
Var1546	numeric	88 unique values 0 missing
Var1802	numeric	89 unique values 0 missing
Var2058	numeric	80 unique values 0 missing
Var2314	numeric	101 unique values 0 missing
Var2570	numeric	87 unique values 0 missing
Var2826	numeric	94 unique values 0 missing
Var3082	numeric	86 unique values 0 missing
Var3338	numeric	95 unique values 0 missing
Var3594	numeric	100 unique values 0 missing
Var3850	numeric	93 unique values 0 missing
Var4106	numeric	84 unique values 0 missing
Var4362	numeric	100 unique values 0 missing
Var4618	numeric	96 unique values 0 missing
Var4874	numeric	102 unique values 0 missing
Var5130	numeric	97 unique values 0 missing
Var5386	numeric	83 unique values 0 missing
Var5642	numeric	94 unique values 0 missing
Var5898	numeric	97 unique values 0 missing
Var6154	numeric	81 unique values 0 missing
Var6410	numeric	87 unique values 0 missing
Var6666	numeric	92 unique values 0 missing
Var6922	numeric	95 unique values 0 missing
Var7178	numeric	98 unique values 0 missing
Var7434	numeric	95 unique values 0 missing
Var7690	numeric	100 unique values 0 missing
Var7946	numeric	98 unique values 0 missing
Var8202	numeric	80 unique values 0 missing
Var8458	numeric	97 unique values 0 missing
Var8714	numeric	92 unique values 0 missing
Var8970	numeric	91 unique values 0 missing
Var9226	numeric	89 unique values 0 missing
Var9482	numeric	91 unique values 0 missing
Var9738	numeric	93 unique values 0 missing
Var9994	numeric	74 unique values 0 missing
Var10250	numeric	98 unique values 0 missing
Var10506	numeric	93 unique values 0 missing
Var10762	numeric	83 unique values 0 missing
Var11018	numeric	76 unique values 0 missing
Var11274	numeric	94 unique values 0 missing
Var11530	numeric	100 unique values 0 missing
Var11786	numeric	91 unique values 0 missing
Var12042	numeric	101 unique values 0 missing
Var12298	numeric	89 unique values 0 missing
Var12554	numeric	93 unique values 0 missing
Var12810	numeric	90 unique values 0 missing
Var13066	numeric	99 unique values 0 missing
Var13322	numeric	91 unique values 0 missing
Var13578	numeric	92 unique values 0 missing
Var13834	numeric	89 unique values 0 missing
Var14090	numeric	98 unique values 0 missing
Var14346	numeric	99 unique values 0 missing
Var14602	numeric	92 unique values 0 missing
Var14858	numeric	91 unique values 0 missing
Var15114	numeric	94 unique values 0 missing
Var15370	numeric	85 unique values 0 missing
Var15626	numeric	91 unique values 0 missing
Var15882	numeric	86 unique values 0 missing
Var16138	numeric	91 unique values 0 missing
Var16394	numeric	95 unique values 0 missing
Var16650	numeric	89 unique values 0 missing
Var16906	numeric	88 unique values 0 missing
Var17162	numeric	88 unique values 0 missing
Var17418	numeric	98 unique values 0 missing
Var17674	numeric	90 unique values 0 missing
Var17930	numeric	91 unique values 0 missing
Var18186	numeric	95 unique values 0 missing
Var18442	numeric	97 unique values 0 missing
Var18698	numeric	94 unique values 0 missing
Var18954	numeric	95 unique values 0 missing
Var19210	numeric	91 unique values 0 missing
Var19466	numeric	98 unique values 0 missing
Var19722	numeric	101 unique values 0 missing
Var19978	numeric	95 unique values 0 missing
Var20234	numeric	86 unique values 0 missing
Var20490	numeric	100 unique values 0 missing
Var20746	numeric	93 unique values 0 missing
Var21002	numeric	85 unique values 0 missing
Var21258	numeric	96 unique values 0 missing
Var21514	numeric	76 unique values 0 missing
Var21770	numeric	97 unique values 0 missing
Var22026	numeric	99 unique values 0 missing
Var22282	numeric	91 unique values 0 missing
Var11	numeric	82 unique values 0 missing
Var267	numeric	104 unique values 0 missing
Var523	numeric	96 unique values 0 missing
Var779	numeric	91 unique values 0 missing
Var1035	numeric	98 unique values 0 missing
Var1291	numeric	86 unique values 0 missing
Var1547	numeric	92 unique values 0 missing
Var1803	numeric	82 unique values 0 missing
Var2059	numeric	93 unique values 0 missing
Var2315	numeric	93 unique values 0 missing
Var2571	numeric	95 unique values 0 missing
Var2827	numeric	87 unique values 0 missing
Var3083	numeric	89 unique values 0 missing
Var3339	numeric	99 unique values 0 missing
Var3595	numeric	54 unique values 0 missing
Var3851	numeric	91 unique values 0 missing
Var4107	numeric	89 unique values 0 missing
Var4363	numeric	99 unique values 0 missing
Var4619	numeric	91 unique values 0 missing
Var4875	numeric	95 unique values 0 missing
Var5131	numeric	88 unique values 0 missing
Var5387	numeric	97 unique values 0 missing
Var5643	numeric	94 unique values 0 missing
Var5899	numeric	96 unique values 0 missing
Var6155	numeric	92 unique values 0 missing
Var6411	numeric	84 unique values 0 missing
Var6667	numeric	82 unique values 0 missing
Var6923	numeric	75 unique values 0 missing
Var7179	numeric	93 unique values 0 missing
Var7435	numeric	93 unique values 0 missing
Var7691	numeric	93 unique values 0 missing
Var7947	numeric	86 unique values 0 missing
Var8203	numeric	86 unique values 0 missing
Var8459	numeric	72 unique values 0 missing
Var8715	numeric	91 unique values 0 missing
Var8971	numeric	89 unique values 0 missing
Var9227	numeric	92 unique values 0 missing
Var9483	numeric	90 unique values 0 missing
Var9739	numeric	92 unique values 0 missing
Var9995	numeric	90 unique values 0 missing
Var10251	numeric	101 unique values 0 missing
Var10507	numeric	97 unique values 0 missing
Var10763	numeric	92 unique values 0 missing
Var11019	numeric	91 unique values 0 missing
Var11275	numeric	94 unique values 0 missing
Var11531	numeric	90 unique values 0 missing
Var11787	numeric	92 unique values 0 missing
Var12043	numeric	99 unique values 0 missing
Var12299	numeric	98 unique values 0 missing
Var12555	numeric	85 unique values 0 missing
Var12811	numeric	99 unique values 0 missing
Var13067	numeric	85 unique values 0 missing
Var13323	numeric	91 unique values 0 missing
Var13579	numeric	101 unique values 0 missing
Var13835	numeric	92 unique values 0 missing
Var14091	numeric	102 unique values 0 missing
Var14347	numeric	102 unique values 0 missing
Var14603	numeric	94 unique values 0 missing
Var14859	numeric	92 unique values 0 missing
Var15115	numeric	79 unique values 0 missing
Var15371	numeric	97 unique values 0 missing
Var15627	numeric	89 unique values 0 missing
Var15883	numeric	95 unique values 0 missing
Var16139	numeric	96 unique values 0 missing
Var16395	numeric	94 unique values 0 missing
Var16651	numeric	99 unique values 0 missing
Var16907	numeric	93 unique values 0 missing
Var17163	numeric	88 unique values 0 missing
Var17419	numeric	94 unique values 0 missing
Var17675	numeric	84 unique values 0 missing
Var17931	numeric	97 unique values 0 missing
Var18187	numeric	100 unique values 0 missing
Var18443	numeric	98 unique values 0 missing
Var18699	numeric	93 unique values 0 missing
Var18955	numeric	100 unique values 0 missing
Var19211	numeric	97 unique values 0 missing
Var19467	numeric	95 unique values 0 missing
Var19723	numeric	94 unique values 0 missing
Var19979	numeric	91 unique values 0 missing
Var20235	numeric	97 unique values 0 missing
Var20491	numeric	90 unique values 0 missing
Var20747	numeric	99 unique values 0 missing
Var21003	numeric	103 unique values 0 missing
Var21259	numeric	91 unique values 0 missing
Var21515	numeric	98 unique values 0 missing
Var21771	numeric	95 unique values 0 missing
Var22027	numeric	91 unique values 0 missing
Var22283	numeric	101 unique values 0 missing
Var12	numeric	100 unique values 0 missing
Var268	numeric	94 unique values 0 missing
Var524	numeric	96 unique values 0 missing
Var780	numeric	85 unique values 0 missing
Var1036	numeric	102 unique values 0 missing
Var1292	numeric	98 unique values 0 missing
Var1548	numeric	96 unique values 0 missing
Var1804	numeric	85 unique values 0 missing
Var2060	numeric	93 unique values 0 missing
Var2316	numeric	98 unique values 0 missing
Var2572	numeric	85 unique values 0 missing
Var2828	numeric	87 unique values 0 missing
Var3084	numeric	96 unique values 0 missing
Var3340	numeric	90 unique values 0 missing
Var3596	numeric	99 unique values 0 missing
Var3852	numeric	97 unique values 0 missing
Var4108	numeric	95 unique values 0 missing
Var4364	numeric	99 unique values 0 missing
Var4620	numeric	91 unique values 0 missing
Var4876	numeric	93 unique values 0 missing
Var5132	numeric	102 unique values 0 missing
Var5388	numeric	97 unique values 0 missing
Var5644	numeric	95 unique values 0 missing
Var5900	numeric	95 unique values 0 missing
Var6156	numeric	94 unique values 0 missing
Var6412	numeric	88 unique values 0 missing
Var6668	numeric	102 unique values 0 missing
Var6924	numeric	90 unique values 0 missing
Var7180	numeric	98 unique values 0 missing
Var7436	numeric	96 unique values 0 missing
Var7692	numeric	77 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

105

Number of instances (rows) of the dataset.

NumberOfFeatures

22284

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

22283

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

0.5

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

0.6

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

J48.00001.Kappa

0.18

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

0.77

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.1

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

-0.1

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

J48.0001.AUC

0.58

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

MeanKurtosisOfNumericAtts

2.09

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.59

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3StdDevOfNumericAtts

0.19

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

RandomTreeDepth3AUC

0.45

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

J48.0001.ErrRate

0.46

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

MeanMeansOfNumericAtts

3.67

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.44

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

Quartile1KurtosisOfNumericAtts

0.29

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

0.5

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

0.6

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

J48.0001.Kappa

0.18

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

0.18

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

Quartile1MeansOfNumericAtts

2.93

First quartile of means among attributes of the numeric type.

REPTreeDepth1ErrRate

0.5

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

CfsSubsetEval_NaiveBayesKappa

0.1

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

-0.1

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

J48.001.AUC

0.58

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

-0.03

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

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

0.46

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

-0.09

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

0.5

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

0.57

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

J48.001.Kappa

0.18

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

MeanSkewnessOfNumericAtts

0.39

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.11

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

REPTreeDepth2ErrRate

0.5

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

CfsSubsetEval_kNN1NKappa

0.1

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

0.43

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

MajorityClassPercentage

55.24

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.16

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

0.97

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

REPTreeDepth2Kappa

-0.03

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

ClassEntropy

1.26

Entropy of the target attribute values.

kNN1NKappa

0.24

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

3.62

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

0.59

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.16

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.5

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

DecisionStumpErrRate

0.45

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

MaxKurtosisOfNumericAtts

93.37

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

1.86

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

0.33

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

REPTreeDepth3Kappa

-0.03

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

DecisionStumpKappa

0.13

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

MaxMeansOfNumericAtts

7.95

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2StdDevOfNumericAtts

0.14

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

RandomTreeDepth1AUC

0.45

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

Dimensionality

212.23

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

0.6

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

-8.18

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3KurtosisOfNumericAtts

2.25

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.43

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

-0.1

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

J48.00001.AUC

0.58

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

MaxSkewnessOfNumericAtts

9.4

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.04

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3MeansOfNumericAtts

4.26

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

RandomTreeDepth2AUC

0.45

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

J48.00001.ErrRate

0.46

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

MaxStdDevOfNumericAtts

1.07

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

6.67

Percentage of instances belonging to the least frequent class.