Data
rsctc2010_6

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

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Var39171numeric90 unique values
0 missing
Var39427numeric89 unique values
0 missing
Var39683numeric86 unique values
0 missing
Var39939numeric92 unique values
0 missing
Var40195numeric84 unique values
0 missing
Var40451numeric91 unique values
0 missing
Var40707numeric92 unique values
0 missing
Var40963numeric88 unique values
0 missing
Var41219numeric87 unique values
0 missing
Var41475numeric85 unique values
0 missing
Var41731numeric89 unique values
0 missing
Var41987numeric89 unique values
0 missing
Var42243numeric87 unique values
0 missing
Var42499numeric88 unique values
0 missing
Var42755numeric87 unique values
0 missing
Var43011numeric90 unique values
0 missing
Var43267numeric89 unique values
0 missing
Var43523numeric89 unique values
0 missing
Var43779numeric89 unique values
0 missing
Var44035numeric88 unique values
0 missing
Var44291numeric90 unique values
0 missing
Var44547numeric87 unique values
0 missing
Var44803numeric91 unique values
0 missing
Var45059numeric86 unique values
0 missing
Var45315numeric88 unique values
0 missing
Var45571numeric81 unique values
0 missing
Var45827numeric90 unique values
0 missing
Var46083numeric87 unique values
0 missing
Var46339numeric88 unique values
0 missing
Var46595numeric89 unique values
0 missing
Var46851numeric89 unique values
0 missing
Var47107numeric88 unique values
0 missing
Var47363numeric89 unique values
0 missing
Var47619numeric89 unique values
0 missing
Var47875numeric88 unique values
0 missing
Var48131numeric87 unique values
0 missing
Var48387numeric92 unique values
0 missing
Var48643numeric87 unique values
0 missing
Var48899numeric90 unique values
0 missing
Var49155numeric85 unique values
0 missing
Var49411numeric86 unique values
0 missing
Var49667numeric87 unique values
0 missing
Var49923numeric89 unique values
0 missing
Var50179numeric90 unique values
0 missing
Var50435numeric87 unique values
0 missing
Var50691numeric83 unique values
0 missing
Var50947numeric91 unique values
0 missing
Var51203numeric88 unique values
0 missing
Var51459numeric87 unique values
0 missing
Var51715numeric89 unique values
0 missing
Var51971numeric87 unique values
0 missing
Var52227numeric86 unique values
0 missing
Var52483numeric90 unique values
0 missing
Var52739numeric89 unique values
0 missing
Var52995numeric88 unique values
0 missing
Var53251numeric84 unique values
0 missing
Var53507numeric85 unique values
0 missing
Var53763numeric90 unique values
0 missing
Var54019numeric87 unique values
0 missing
Var54275numeric87 unique values
0 missing
Var54531numeric85 unique values
0 missing
Var54787numeric89 unique values
0 missing
Var55043numeric90 unique values
0 missing
Var55299numeric90 unique values
0 missing
Var55555numeric86 unique values
0 missing
Var55811numeric83 unique values
0 missing
Var56067numeric90 unique values
0 missing
Var56323numeric89 unique values
0 missing
Var56579numeric87 unique values
0 missing
Var56835numeric87 unique values
0 missing
Var57091numeric88 unique values
0 missing
Var57347numeric89 unique values
0 missing
Var57603numeric85 unique values
0 missing
Var57859numeric90 unique values
0 missing
Var58115numeric90 unique values
0 missing
Var58371numeric86 unique values
0 missing
Var58627numeric89 unique values
0 missing
Var58883numeric84 unique values
0 missing
Var4numeric92 unique values
0 missing
Var260numeric91 unique values
0 missing
Var516numeric90 unique values
0 missing
Var772numeric86 unique values
0 missing
Var1028numeric86 unique values
0 missing
Var1284numeric90 unique values
0 missing
Var1540numeric87 unique values
0 missing
Var1796numeric91 unique values
0 missing
Var2052numeric89 unique values
0 missing
Var2308numeric87 unique values
0 missing
Var2564numeric89 unique values
0 missing
Var2820numeric91 unique values
0 missing
Var3076numeric87 unique values
0 missing
Var3332numeric86 unique values
0 missing
Var3588numeric90 unique values
0 missing
Var3844numeric88 unique values
0 missing
Var4100numeric89 unique values
0 missing
Var4356numeric88 unique values
0 missing
Var4612numeric85 unique values
0 missing
Var4868numeric89 unique values
0 missing
Var5124numeric90 unique values
0 missing
Var5380numeric88 unique values
0 missing
Var5636numeric84 unique values
0 missing
Var5892numeric91 unique values
0 missing
Var6148numeric89 unique values
0 missing
Var6404numeric87 unique values
0 missing
Var6660numeric90 unique values
0 missing
Var6916numeric85 unique values
0 missing
Var7172numeric86 unique values
0 missing
Var7428numeric87 unique values
0 missing
Var7684numeric85 unique values
0 missing
Var7940numeric87 unique values
0 missing
Var8196numeric89 unique values
0 missing
Var8452numeric87 unique values
0 missing
Var8708numeric90 unique values
0 missing
Var8964numeric92 unique values
0 missing
Var9220numeric89 unique values
0 missing
Var9476numeric89 unique values
0 missing
Var9732numeric90 unique values
0 missing
Var9988numeric90 unique values
0 missing
Var10244numeric87 unique values
0 missing
Var10500numeric91 unique values
0 missing
Var10756numeric88 unique values
0 missing
Var11012numeric91 unique values
0 missing
Var11268numeric88 unique values
0 missing
Var11524numeric91 unique values
0 missing
Var11780numeric89 unique values
0 missing
Var12036numeric90 unique values
0 missing
Var12292numeric89 unique values
0 missing
Var12548numeric91 unique values
0 missing
Var12804numeric90 unique values
0 missing
Var13060numeric87 unique values
0 missing
Var13316numeric85 unique values
0 missing
Var13572numeric86 unique values
0 missing
Var13828numeric89 unique values
0 missing
Var14084numeric89 unique values
0 missing
Var14340numeric87 unique values
0 missing
Var14596numeric83 unique values
0 missing
Var14852numeric82 unique values
0 missing
Var15108numeric91 unique values
0 missing
Var15364numeric92 unique values
0 missing
Var15620numeric91 unique values
0 missing
Var15876numeric92 unique values
0 missing
Var16132numeric87 unique values
0 missing
Var16388numeric87 unique values
0 missing
Var16644numeric91 unique values
0 missing
Var16900numeric89 unique values
0 missing
Var17156numeric86 unique values
0 missing
Var17412numeric85 unique values
0 missing
Var17668numeric89 unique values
0 missing
Var17924numeric90 unique values
0 missing
Var18180numeric89 unique values
0 missing
Var18436numeric88 unique values
0 missing
Var18692numeric84 unique values
0 missing
Var18948numeric91 unique values
0 missing
Var19204numeric80 unique values
0 missing
Var19460numeric87 unique values
0 missing
Var19716numeric88 unique values
0 missing
Var19972numeric90 unique values
0 missing
Var20228numeric87 unique values
0 missing
Var20484numeric91 unique values
0 missing
Var20740numeric90 unique values
0 missing
Var20996numeric88 unique values
0 missing
Var21252numeric90 unique values
0 missing
Var21508numeric89 unique values
0 missing
Var21764numeric88 unique values
0 missing
Var22020numeric91 unique values
0 missing
Var22276numeric87 unique values
0 missing
Var22532numeric88 unique values
0 missing
Var22788numeric90 unique values
0 missing
Var23044numeric91 unique values
0 missing
Var23300numeric86 unique values
0 missing
Var23556numeric84 unique values
0 missing
Var23812numeric89 unique values
0 missing
Var24068numeric87 unique values
0 missing
Var24324numeric90 unique values
0 missing
Var24580numeric91 unique values
0 missing
Var24836numeric89 unique values
0 missing
Var25092numeric90 unique values
0 missing
Var25348numeric85 unique values
0 missing
Var25604numeric92 unique values
0 missing
Var25860numeric92 unique values
0 missing
Var26116numeric91 unique values
0 missing
Var26372numeric85 unique values
0 missing
Var26628numeric89 unique values
0 missing
Var26884numeric86 unique values
0 missing
Var27140numeric92 unique values
0 missing
Var27396numeric88 unique values
0 missing
Var27652numeric91 unique values
0 missing
Var27908numeric89 unique values
0 missing
Var28164numeric87 unique values
0 missing
Var28420numeric91 unique values
0 missing
Var28676numeric89 unique values
0 missing
Var28932numeric91 unique values
0 missing
Var29188numeric87 unique values
0 missing
Var29444numeric89 unique values
0 missing
Var29700numeric87 unique values
0 missing
Var29956numeric90 unique values
0 missing
Var30212numeric88 unique values
0 missing
Var30468numeric87 unique values
0 missing
Var30724numeric88 unique values
0 missing
Var30980numeric91 unique values
0 missing
Var31236numeric89 unique values
0 missing
Var31492numeric87 unique values
0 missing
Var31748numeric90 unique values
0 missing
Var32004numeric87 unique values
0 missing
Var32260numeric89 unique values
0 missing
Var32516numeric88 unique values
0 missing
Var32772numeric89 unique values
0 missing
Var33028numeric91 unique values
0 missing
Var33284numeric89 unique values
0 missing
Var33540numeric87 unique values
0 missing
Var33796numeric86 unique values
0 missing
Var34052numeric90 unique values
0 missing
Var34308numeric88 unique values
0 missing
Var34564numeric89 unique values
0 missing
Var34820numeric84 unique values
0 missing
Var35076numeric88 unique values
0 missing
Var35332numeric90 unique values
0 missing
Var35588numeric88 unique values
0 missing
Var35844numeric89 unique values
0 missing
Var36100numeric88 unique values
0 missing
Var36356numeric89 unique values
0 missing
Var36612numeric89 unique values
0 missing
Var36868numeric85 unique values
0 missing
Var37124numeric85 unique values
0 missing
Var37380numeric84 unique values
0 missing
Var37636numeric91 unique values
0 missing
Var37892numeric88 unique values
0 missing
Var38148numeric90 unique values
0 missing
Var38404numeric90 unique values
0 missing
Var38660numeric87 unique values
0 missing
Var38916numeric89 unique values
0 missing
Var39172numeric86 unique values
0 missing
Var39428numeric83 unique values
0 missing
Var39684numeric92 unique values
0 missing
Var39940numeric90 unique values
0 missing
Var40196numeric86 unique values
0 missing
Var40452numeric88 unique values
0 missing
Var40708numeric84 unique values
0 missing
Var40964numeric86 unique values
0 missing
Var41220numeric87 unique values
0 missing
Var41476numeric86 unique values
0 missing
Var41732numeric89 unique values
0 missing
Var41988numeric84 unique values
0 missing
Var42244numeric87 unique values
0 missing
Var42500numeric91 unique values
0 missing
Var42756numeric89 unique values
0 missing
Var43012numeric91 unique values
0 missing
Var43268numeric86 unique values
0 missing
Var43524numeric89 unique values
0 missing
Var43780numeric89 unique values
0 missing
Var44036numeric88 unique values
0 missing
Var44292numeric91 unique values
0 missing
Var44548numeric88 unique values
0 missing
Var44804numeric87 unique values
0 missing
Var45060numeric91 unique values
0 missing
Var45316numeric89 unique values
0 missing
Var45572numeric89 unique values
0 missing
Var45828numeric88 unique values
0 missing
Var46084numeric81 unique values
0 missing
Var46340numeric86 unique values
0 missing
Var46596numeric87 unique values
0 missing
Var46852numeric91 unique values
0 missing
Var47108numeric91 unique values
0 missing
Var47364numeric90 unique values
0 missing
Var47620numeric87 unique values
0 missing
Var47876numeric86 unique values
0 missing
Var48132numeric92 unique values
0 missing
Var48388numeric91 unique values
0 missing
Var48644numeric89 unique values
0 missing
Var48900numeric90 unique values
0 missing
Var49156numeric88 unique values
0 missing
Var49412numeric85 unique values
0 missing
Var49668numeric89 unique values
0 missing
Var49924numeric91 unique values
0 missing
Var50180numeric87 unique values
0 missing
Var50436numeric89 unique values
0 missing
Var50692numeric88 unique values
0 missing
Var50948numeric88 unique values
0 missing
Var51204numeric84 unique values
0 missing
Var51460numeric87 unique values
0 missing
Var51716numeric85 unique values
0 missing
Var51972numeric89 unique values
0 missing
Var52228numeric82 unique values
0 missing
Var52484numeric91 unique values
0 missing
Var52740numeric85 unique values
0 missing
Var52996numeric88 unique values
0 missing
Var53252numeric89 unique values
0 missing
Var53508numeric91 unique values
0 missing
Var53764numeric91 unique values
0 missing
Var54020numeric90 unique values
0 missing
Var54276numeric87 unique values
0 missing
Var54532numeric84 unique values
0 missing
Var54788numeric91 unique values
0 missing
Var55044numeric88 unique values
0 missing
Var55300numeric84 unique values
0 missing
Var55556numeric92 unique values
0 missing
Var55812numeric87 unique values
0 missing
Var56068numeric87 unique values
0 missing
Var56324numeric79 unique values
0 missing
Var56580numeric89 unique values
0 missing
Var56836numeric83 unique values
0 missing
Var57092numeric91 unique values
0 missing
Var57348numeric90 unique values
0 missing
Var57604numeric89 unique values
0 missing
Var57860numeric90 unique values
0 missing
Var58116numeric85 unique values
0 missing
Var58372numeric90 unique values
0 missing
Var58628numeric91 unique values
0 missing
Var58884numeric89 unique values
0 missing
Var5numeric89 unique values
0 missing
Var261numeric87 unique values
0 missing
Var517numeric87 unique values
0 missing
Var773numeric88 unique values
0 missing
Var1029numeric86 unique values
0 missing
Var1285numeric86 unique values
0 missing
Var1541numeric91 unique values
0 missing
Var1797numeric85 unique values
0 missing
Var2053numeric86 unique values
0 missing
Var2309numeric83 unique values
0 missing
Var2565numeric87 unique values
0 missing
Var2821numeric90 unique values
0 missing
Var3077numeric77 unique values
0 missing
Var3333numeric88 unique values
0 missing
Var3589numeric89 unique values
0 missing
Var3845numeric86 unique values
0 missing
Var4101numeric90 unique values
0 missing
Var4357numeric88 unique values
0 missing
Var4613numeric82 unique values
0 missing
Var4869numeric87 unique values
0 missing
Var5125numeric87 unique values
0 missing
Var5381numeric91 unique values
0 missing
Var5637numeric84 unique values
0 missing
Var5893numeric86 unique values
0 missing
Var6149numeric88 unique values
0 missing
Var6405numeric92 unique values
0 missing
Var6661numeric92 unique values
0 missing
Var6917numeric89 unique values
0 missing
Var7173numeric88 unique values
0 missing
Var7429numeric86 unique values
0 missing
Var7685numeric90 unique values
0 missing
Var7941numeric91 unique values
0 missing
Var8197numeric87 unique values
0 missing
Var8453numeric88 unique values
0 missing
Var8709numeric89 unique values
0 missing
Var8965numeric87 unique values
0 missing
Var9221numeric89 unique values
0 missing
Var9477numeric88 unique values
0 missing
Var9733numeric88 unique values
0 missing
Var9989numeric86 unique values
0 missing
Var10245numeric85 unique values
0 missing
Var10501numeric89 unique values
0 missing
Var10757numeric89 unique values
0 missing
Var11013numeric89 unique values
0 missing
Var11269numeric91 unique values
0 missing
Var11525numeric90 unique values
0 missing
Var11781numeric89 unique values
0 missing
Var12037numeric92 unique values
0 missing
Var12293numeric85 unique values
0 missing
Var12549numeric86 unique values
0 missing
Var12805numeric89 unique values
0 missing
Var13061numeric87 unique values
0 missing
Var13317numeric86 unique values
0 missing
Var13573numeric87 unique values
0 missing
Var13829numeric86 unique values
0 missing
Var14085numeric87 unique values
0 missing
Var14341numeric91 unique values
0 missing
Var14597numeric88 unique values
0 missing
Var14853numeric84 unique values
0 missing
Var15109numeric88 unique values
0 missing
Var15365numeric88 unique values
0 missing
Var15621numeric86 unique values
0 missing
Var15877numeric89 unique values
0 missing
Var16133numeric84 unique values
0 missing
Var16389numeric91 unique values
0 missing
Var16645numeric85 unique values
0 missing
Var16901numeric90 unique values
0 missing
Var17157numeric84 unique values
0 missing
Var17413numeric87 unique values
0 missing
Var17669numeric82 unique values
0 missing
Var17925numeric90 unique values
0 missing
Var18181numeric92 unique values
0 missing
Var18437numeric87 unique values
0 missing
Var18693numeric89 unique values
0 missing
Var18949numeric91 unique values
0 missing

107 properties

92
Number of instances (rows) of the dataset.
59005
Number of attributes (columns) of the dataset.
5
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
59004
Number of numeric attributes.
1
Number of nominal attributes.
5
The maximum number of distinct values among attributes of the nominal type.
-1.89
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.45
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
9.27
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
0.84
Third quartile of kurtosis among attributes of the numeric type.
0.36
Average class difference between consecutive instances.
0.25
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
2.67
Maximum standard deviation of attributes of the numeric type.
7.61
Percentage of instances belonging to the least frequent class.
100
Percentage of numeric attributes.
2.34
Third quartile of means among attributes of the numeric type.
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
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.47
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
7
Number of instances belonging to the least frequent class.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.52
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
0.45
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.32
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.09
Mean kurtosis among attributes of the numeric type.
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
0.58
Third quartile of skewness among attributes of the numeric type.
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
0.25
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
1.85
Mean of means among attributes of the numeric type.
0.36
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-0.23
First quartile of kurtosis among attributes of the numeric type.
0.48
Third quartile of standard deviation of attributes of the numeric type.
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
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.47
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1.2
First quartile of means among attributes of the numeric type.
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.45
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.32
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.42
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.25
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
5
Average number of distinct values among the attributes of the nominal type.
0.02
First quartile of skewness among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.47
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.39
Mean skewness among attributes of the numeric type.
0.26
First quartile of standard deviation of attributes of the numeric type.
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.32
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.39
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.42
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
0.45
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
57.61
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.18
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
1.8
Entropy of the target attribute values.
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
53
Number of instances belonging to the most frequent class.
-1.43
Minimum kurtosis among attributes of the numeric type.
1.69
Second quartile (Median) of means among attributes of the numeric type.
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
0.05
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.42
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.42
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
87.86
Maximum kurtosis among attributes of the numeric type.
8.07
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0.29
Second quartile (Median) of skewness among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.15
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum mutual information between the nominal attributes and the target attribute.
5
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.35
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
641.36
Number of attributes divided by the number of instances.

6 tasks

9 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Decision
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task