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rsctc2010_5

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

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Var47363numeric81 unique values
0 missing
Var47619numeric85 unique values
0 missing
Var47875numeric86 unique values
0 missing
Var48131numeric86 unique values
0 missing
Var48387numeric81 unique values
0 missing
Var48643numeric83 unique values
0 missing
Var48899numeric84 unique values
0 missing
Var49155numeric74 unique values
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Var49411numeric84 unique values
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Var49667numeric88 unique values
0 missing
Var49923numeric84 unique values
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Var50179numeric87 unique values
0 missing
Var50435numeric85 unique values
0 missing
Var50691numeric85 unique values
0 missing
Var50947numeric86 unique values
0 missing
Var51203numeric80 unique values
0 missing
Var51459numeric86 unique values
0 missing
Var51715numeric85 unique values
0 missing
Var51971numeric84 unique values
0 missing
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0 missing
Var52483numeric87 unique values
0 missing
Var52739numeric88 unique values
0 missing
Var52995numeric82 unique values
0 missing
Var53251numeric81 unique values
0 missing
Var53507numeric84 unique values
0 missing
Var53763numeric87 unique values
0 missing
Var54019numeric87 unique values
0 missing
Var54275numeric89 unique values
0 missing
Var54531numeric87 unique values
0 missing
Var4numeric87 unique values
0 missing
Var260numeric83 unique values
0 missing
Var516numeric86 unique values
0 missing
Var772numeric42 unique values
0 missing
Var1028numeric82 unique values
0 missing
Var1284numeric79 unique values
0 missing
Var1540numeric82 unique values
0 missing
Var1796numeric85 unique values
0 missing
Var2052numeric86 unique values
0 missing
Var2308numeric89 unique values
0 missing
Var2564numeric81 unique values
0 missing
Var2820numeric84 unique values
0 missing
Var3076numeric85 unique values
0 missing
Var3332numeric89 unique values
0 missing
Var3588numeric85 unique values
0 missing
Var3844numeric84 unique values
0 missing
Var4100numeric80 unique values
0 missing
Var4356numeric85 unique values
0 missing
Var4612numeric85 unique values
0 missing
Var4868numeric78 unique values
0 missing
Var5124numeric83 unique values
0 missing
Var5380numeric86 unique values
0 missing
Var5636numeric87 unique values
0 missing
Var5892numeric83 unique values
0 missing
Var6148numeric80 unique values
0 missing
Var6404numeric85 unique values
0 missing
Var6660numeric88 unique values
0 missing
Var6916numeric80 unique values
0 missing
Var7172numeric76 unique values
0 missing
Var7428numeric86 unique values
0 missing
Var7684numeric85 unique values
0 missing
Var7940numeric87 unique values
0 missing
Var8196numeric85 unique values
0 missing
Var8452numeric84 unique values
0 missing
Var8708numeric86 unique values
0 missing
Var8964numeric83 unique values
0 missing
Var9220numeric83 unique values
0 missing
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0 missing
Var9732numeric85 unique values
0 missing
Var9988numeric81 unique values
0 missing
Var10244numeric85 unique values
0 missing
Var10500numeric85 unique values
0 missing
Var10756numeric85 unique values
0 missing
Var11012numeric83 unique values
0 missing
Var11268numeric83 unique values
0 missing
Var11524numeric83 unique values
0 missing
Var11780numeric84 unique values
0 missing
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0 missing
Var12292numeric85 unique values
0 missing
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0 missing
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0 missing
Var13060numeric86 unique values
0 missing
Var13316numeric82 unique values
0 missing
Var13572numeric81 unique values
0 missing
Var13828numeric86 unique values
0 missing
Var14084numeric82 unique values
0 missing
Var14340numeric86 unique values
0 missing
Var14596numeric84 unique values
0 missing
Var14852numeric84 unique values
0 missing
Var15108numeric87 unique values
0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
Var16900numeric85 unique values
0 missing
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0 missing
Var17412numeric85 unique values
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0 missing
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0 missing
Var18180numeric67 unique values
0 missing
Var18436numeric87 unique values
0 missing
Var18692numeric65 unique values
0 missing
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0 missing
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0 missing
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0 missing
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0 missing
Var19972numeric83 unique values
0 missing
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0 missing
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0 missing
Var20740numeric85 unique values
0 missing
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0 missing
Var21252numeric85 unique values
0 missing
Var21508numeric88 unique values
0 missing
Var21764numeric83 unique values
0 missing
Var22020numeric80 unique values
0 missing
Var22276numeric76 unique values
0 missing
Var22532numeric85 unique values
0 missing
Var22788numeric87 unique values
0 missing
Var23044numeric86 unique values
0 missing
Var23300numeric82 unique values
0 missing
Var23556numeric82 unique values
0 missing
Var23812numeric84 unique values
0 missing
Var24068numeric83 unique values
0 missing
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0 missing
Var24580numeric83 unique values
0 missing
Var24836numeric86 unique values
0 missing
Var25092numeric82 unique values
0 missing
Var25348numeric86 unique values
0 missing
Var25604numeric85 unique values
0 missing
Var25860numeric84 unique values
0 missing
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0 missing
Var26372numeric89 unique values
0 missing
Var26628numeric88 unique values
0 missing
Var26884numeric84 unique values
0 missing
Var27140numeric84 unique values
0 missing
Var27396numeric83 unique values
0 missing
Var27652numeric78 unique values
0 missing
Var27908numeric84 unique values
0 missing
Var28164numeric81 unique values
0 missing
Var28420numeric86 unique values
0 missing
Var28676numeric71 unique values
0 missing
Var28932numeric85 unique values
0 missing
Var29188numeric73 unique values
0 missing
Var29444numeric81 unique values
0 missing
Var29700numeric81 unique values
0 missing
Var29956numeric86 unique values
0 missing
Var30212numeric81 unique values
0 missing
Var30468numeric81 unique values
0 missing
Var30724numeric87 unique values
0 missing
Var30980numeric82 unique values
0 missing
Var31236numeric85 unique values
0 missing
Var31492numeric84 unique values
0 missing
Var31748numeric85 unique values
0 missing
Var32004numeric83 unique values
0 missing
Var32260numeric50 unique values
0 missing
Var32516numeric85 unique values
0 missing
Var32772numeric87 unique values
0 missing
Var33028numeric86 unique values
0 missing
Var33284numeric86 unique values
0 missing
Var33540numeric84 unique values
0 missing
Var33796numeric85 unique values
0 missing
Var34052numeric89 unique values
0 missing
Var34308numeric79 unique values
0 missing
Var34564numeric85 unique values
0 missing
Var34820numeric80 unique values
0 missing
Var35076numeric83 unique values
0 missing
Var35332numeric87 unique values
0 missing
Var35588numeric85 unique values
0 missing
Var35844numeric86 unique values
0 missing
Var36100numeric84 unique values
0 missing
Var36356numeric81 unique values
0 missing
Var36612numeric82 unique values
0 missing
Var36868numeric84 unique values
0 missing
Var37124numeric80 unique values
0 missing
Var37380numeric84 unique values
0 missing
Var37636numeric83 unique values
0 missing
Var37892numeric83 unique values
0 missing
Var38148numeric85 unique values
0 missing
Var38404numeric82 unique values
0 missing
Var38660numeric83 unique values
0 missing
Var38916numeric81 unique values
0 missing
Var39172numeric83 unique values
0 missing
Var39428numeric85 unique values
0 missing
Var39684numeric85 unique values
0 missing
Var39940numeric83 unique values
0 missing
Var40196numeric84 unique values
0 missing
Var40452numeric87 unique values
0 missing
Var40708numeric81 unique values
0 missing
Var40964numeric84 unique values
0 missing
Var41220numeric52 unique values
0 missing
Var41476numeric82 unique values
0 missing
Var41732numeric87 unique values
0 missing
Var41988numeric86 unique values
0 missing
Var42244numeric84 unique values
0 missing
Var42500numeric86 unique values
0 missing
Var42756numeric84 unique values
0 missing
Var43012numeric87 unique values
0 missing
Var43268numeric83 unique values
0 missing
Var43524numeric82 unique values
0 missing
Var43780numeric85 unique values
0 missing
Var44036numeric88 unique values
0 missing
Var44292numeric78 unique values
0 missing
Var44548numeric87 unique values
0 missing
Var44804numeric76 unique values
0 missing
Var45060numeric83 unique values
0 missing
Var45316numeric80 unique values
0 missing
Var45572numeric85 unique values
0 missing
Var45828numeric81 unique values
0 missing
Var46084numeric83 unique values
0 missing
Var46340numeric86 unique values
0 missing
Var46596numeric83 unique values
0 missing
Var46852numeric88 unique values
0 missing
Var47108numeric85 unique values
0 missing
Var47364numeric88 unique values
0 missing
Var47620numeric86 unique values
0 missing
Var47876numeric86 unique values
0 missing
Var48132numeric81 unique values
0 missing
Var48388numeric82 unique values
0 missing
Var48644numeric65 unique values
0 missing
Var48900numeric81 unique values
0 missing
Var49156numeric85 unique values
0 missing
Var49412numeric86 unique values
0 missing
Var49668numeric87 unique values
0 missing
Var49924numeric83 unique values
0 missing
Var50180numeric85 unique values
0 missing
Var50436numeric86 unique values
0 missing
Var50692numeric81 unique values
0 missing
Var50948numeric86 unique values
0 missing
Var51204numeric89 unique values
0 missing
Var51460numeric84 unique values
0 missing
Var51716numeric82 unique values
0 missing
Var51972numeric85 unique values
0 missing
Var52228numeric85 unique values
0 missing
Var52484numeric82 unique values
0 missing
Var52740numeric83 unique values
0 missing
Var52996numeric79 unique values
0 missing
Var53252numeric77 unique values
0 missing
Var53508numeric85 unique values
0 missing
Var53764numeric86 unique values
0 missing
Var54020numeric86 unique values
0 missing
Var54276numeric85 unique values
0 missing
Var54532numeric76 unique values
0 missing
Var5numeric85 unique values
0 missing
Var261numeric72 unique values
0 missing
Var517numeric88 unique values
0 missing
Var773numeric83 unique values
0 missing
Var1029numeric85 unique values
0 missing
Var1285numeric76 unique values
0 missing
Var1541numeric85 unique values
0 missing
Var1797numeric89 unique values
0 missing
Var2053numeric84 unique values
0 missing
Var2309numeric86 unique values
0 missing
Var2565numeric86 unique values
0 missing
Var2821numeric56 unique values
0 missing
Var3077numeric88 unique values
0 missing
Var3333numeric87 unique values
0 missing
Var3589numeric80 unique values
0 missing
Var3845numeric81 unique values
0 missing
Var4101numeric88 unique values
0 missing
Var4357numeric87 unique values
0 missing
Var4613numeric83 unique values
0 missing
Var4869numeric88 unique values
0 missing
Var5125numeric86 unique values
0 missing
Var5381numeric85 unique values
0 missing
Var5637numeric82 unique values
0 missing
Var5893numeric78 unique values
0 missing
Var6149numeric86 unique values
0 missing
Var6405numeric86 unique values
0 missing
Var6661numeric83 unique values
0 missing
Var6917numeric88 unique values
0 missing
Var7173numeric85 unique values
0 missing
Var7429numeric88 unique values
0 missing
Var7685numeric88 unique values
0 missing
Var7941numeric81 unique values
0 missing
Var8197numeric74 unique values
0 missing
Var8453numeric86 unique values
0 missing
Var8709numeric82 unique values
0 missing
Var8965numeric84 unique values
0 missing
Var9221numeric87 unique values
0 missing
Var9477numeric81 unique values
0 missing
Var9733numeric66 unique values
0 missing
Var9989numeric86 unique values
0 missing
Var10245numeric84 unique values
0 missing
Var10501numeric82 unique values
0 missing
Var10757numeric80 unique values
0 missing
Var11013numeric87 unique values
0 missing
Var11269numeric84 unique values
0 missing
Var11525numeric86 unique values
0 missing
Var11781numeric76 unique values
0 missing
Var12037numeric79 unique values
0 missing
Var12293numeric79 unique values
0 missing
Var12549numeric82 unique values
0 missing
Var12805numeric81 unique values
0 missing
Var13061numeric86 unique values
0 missing
Var13317numeric77 unique values
0 missing
Var13573numeric78 unique values
0 missing
Var13829numeric86 unique values
0 missing
Var14085numeric82 unique values
0 missing
Var14341numeric81 unique values
0 missing
Var14597numeric86 unique values
0 missing
Var14853numeric87 unique values
0 missing
Var15109numeric85 unique values
0 missing
Var15365numeric80 unique values
0 missing
Var15621numeric86 unique values
0 missing
Var15877numeric76 unique values
0 missing
Var16133numeric82 unique values
0 missing
Var16389numeric87 unique values
0 missing
Var16645numeric76 unique values
0 missing
Var16901numeric81 unique values
0 missing
Var17157numeric83 unique values
0 missing
Var17413numeric80 unique values
0 missing
Var17669numeric85 unique values
0 missing
Var17925numeric87 unique values
0 missing
Var18181numeric89 unique values
0 missing
Var18437numeric86 unique values
0 missing
Var18693numeric85 unique values
0 missing
Var18949numeric86 unique values
0 missing
Var19205numeric81 unique values
0 missing
Var19461numeric82 unique values
0 missing
Var19717numeric86 unique values
0 missing
Var19973numeric82 unique values
0 missing
Var20229numeric74 unique values
0 missing
Var20485numeric84 unique values
0 missing
Var20741numeric87 unique values
0 missing
Var20997numeric78 unique values
0 missing
Var21253numeric87 unique values
0 missing
Var21509numeric84 unique values
0 missing
Var21765numeric77 unique values
0 missing
Var22021numeric85 unique values
0 missing
Var22277numeric87 unique values
0 missing
Var22533numeric85 unique values
0 missing
Var22789numeric83 unique values
0 missing
Var23045numeric77 unique values
0 missing
Var23301numeric87 unique values
0 missing
Var23557numeric82 unique values
0 missing
Var23813numeric85 unique values
0 missing
Var24069numeric88 unique values
0 missing
Var24325numeric82 unique values
0 missing
Var24581numeric85 unique values
0 missing
Var24837numeric64 unique values
0 missing
Var25093numeric73 unique values
0 missing
Var25349numeric85 unique values
0 missing
Var25605numeric78 unique values
0 missing
Var25861numeric86 unique values
0 missing
Var26117numeric88 unique values
0 missing
Var26373numeric88 unique values
0 missing
Var26629numeric85 unique values
0 missing
Var26885numeric87 unique values
0 missing
Var27141numeric85 unique values
0 missing
Var27397numeric77 unique values
0 missing
Var27653numeric81 unique values
0 missing
Var27909numeric86 unique values
0 missing
Var28165numeric86 unique values
0 missing
Var28421numeric83 unique values
0 missing
Var28677numeric83 unique values
0 missing
Var28933numeric88 unique values
0 missing
Var29189numeric83 unique values
0 missing
Var29445numeric82 unique values
0 missing
Var29701numeric83 unique values
0 missing
Var29957numeric81 unique values
0 missing
Var30213numeric76 unique values
0 missing
Var30469numeric84 unique values
0 missing
Var30725numeric87 unique values
0 missing
Var30981numeric86 unique values
0 missing
Var31237numeric87 unique values
0 missing
Var31493numeric86 unique values
0 missing
Var31749numeric83 unique values
0 missing
Var32005numeric84 unique values
0 missing
Var32261numeric88 unique values
0 missing
Var32517numeric86 unique values
0 missing
Var32773numeric85 unique values
0 missing
Var33029numeric86 unique values
0 missing
Var33285numeric83 unique values
0 missing
Var33541numeric81 unique values
0 missing
Var33797numeric75 unique values
0 missing
Var34053numeric83 unique values
0 missing
Var34309numeric82 unique values
0 missing
Var34565numeric84 unique values
0 missing
Var34821numeric86 unique values
0 missing
Var35077numeric76 unique values
0 missing
Var35333numeric87 unique values
0 missing
Var35589numeric86 unique values
0 missing
Var35845numeric79 unique values
0 missing
Var36101numeric84 unique values
0 missing
Var36357numeric85 unique values
0 missing

107 properties

89
Number of instances (rows) of the dataset.
54614
Number of attributes (columns) of the dataset.
4
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.
54613
Number of numeric attributes.
1
Number of nominal attributes.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.28
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
6.37
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
-0.21
Second quartile (Median) of skewness among attributes of the numeric type.
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
613.64
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
4
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.3
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.58
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.
4
The maximum number of distinct values among attributes of the nominal type.
-7.91
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
6.51
Maximum skewness among attributes of the numeric type.
0.07
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
1.38
Third quartile of kurtosis among attributes of the numeric type.
0.26
Average class difference between consecutive instances.
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.55
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.95
Maximum standard deviation of attributes of the numeric type.
11.24
Percentage of instances belonging to the least frequent class.
100
Percentage of numeric attributes.
3.86
Third quartile of means among attributes of the numeric type.
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
0.58
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.22
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
10
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.
0.49
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
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.93
Mean kurtosis among attributes of the numeric type.
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
0.21
Third quartile of skewness among attributes of the numeric type.
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
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.55
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
3.21
Mean of means among attributes of the numeric type.
0.38
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-0.35
First quartile of kurtosis among attributes of the numeric type.
0.42
Third quartile of standard deviation of attributes of the numeric type.
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
0.58
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.22
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
2.53
First quartile of means among attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
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.
0.52
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.55
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
4
Average number of distinct values among the attributes of the nominal type.
-0.69
First quartile of skewness among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.22
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
-0.24
Mean skewness among attributes of the numeric type.
0.21
First quartile of standard deviation of attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
0.38
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
48.31
Percentage of instances belonging to the most frequent class.
0.33
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.52
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
1.79
Entropy of the target attribute values.
0.41
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
43
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.29
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.9
Minimum kurtosis among attributes of the numeric type.
3.19
Second quartile (Median) of means among attributes of the numeric type.
0.52
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.47
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
70.02
Maximum kurtosis among attributes of the numeric type.
0.58
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

14 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
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task