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Author: Source: Unknown - Date unknown Please cite: Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and all others as negative ('N'). Originally converted by Quan Sun.

241 features

binaryClass (target)nominal2 unique values
0 missing
att1nominal6 unique values
0 missing
att2nominal7 unique values
0 missing
att3nominal7 unique values
0 missing
att4nominal7 unique values
0 missing
att5nominal7 unique values
0 missing
att6nominal7 unique values
0 missing
att7nominal7 unique values
0 missing
att8nominal7 unique values
0 missing
att9nominal7 unique values
0 missing
att10nominal7 unique values
0 missing
att11nominal7 unique values
0 missing
att12nominal7 unique values
0 missing
att13nominal7 unique values
0 missing
att14nominal7 unique values
0 missing
att15nominal6 unique values
0 missing
att16nominal7 unique values
0 missing
att17nominal7 unique values
0 missing
att18nominal7 unique values
0 missing
att19nominal7 unique values
0 missing
att20nominal7 unique values
0 missing
att21nominal7 unique values
0 missing
att22nominal7 unique values
0 missing
att23nominal7 unique values
0 missing
att24nominal7 unique values
0 missing
att25nominal7 unique values
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att26nominal7 unique values
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att27nominal7 unique values
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att28nominal7 unique values
0 missing
att29nominal7 unique values
0 missing
att30nominal7 unique values
0 missing
att31nominal7 unique values
0 missing
att32nominal7 unique values
0 missing
att33nominal7 unique values
0 missing
att34nominal7 unique values
0 missing
att35nominal7 unique values
0 missing
att36nominal7 unique values
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att37nominal7 unique values
0 missing
att38nominal7 unique values
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att39nominal7 unique values
0 missing
att40nominal7 unique values
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att41nominal7 unique values
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att42nominal7 unique values
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att43nominal7 unique values
0 missing
att44nominal7 unique values
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att45nominal7 unique values
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att46nominal7 unique values
0 missing
att47nominal7 unique values
0 missing
att48nominal7 unique values
0 missing
att49nominal7 unique values
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att50nominal7 unique values
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att51nominal7 unique values
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att52nominal7 unique values
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att53nominal7 unique values
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att54nominal7 unique values
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att55nominal7 unique values
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att56nominal7 unique values
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att57nominal7 unique values
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att58nominal7 unique values
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att59nominal7 unique values
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att60nominal7 unique values
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att61nominal7 unique values
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att62nominal7 unique values
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att63nominal7 unique values
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att64nominal7 unique values
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att65nominal7 unique values
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att66nominal7 unique values
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att67nominal7 unique values
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att68nominal7 unique values
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att69nominal7 unique values
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att70nominal7 unique values
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att71nominal7 unique values
0 missing
att72nominal7 unique values
0 missing
att73nominal7 unique values
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att74nominal7 unique values
0 missing
att75nominal7 unique values
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att76nominal7 unique values
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att77nominal7 unique values
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att78nominal7 unique values
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att79nominal7 unique values
0 missing
att80nominal7 unique values
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att81nominal7 unique values
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att82nominal7 unique values
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att83nominal7 unique values
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att84nominal7 unique values
0 missing
att85nominal7 unique values
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att86nominal7 unique values
0 missing
att87nominal7 unique values
0 missing
att88nominal7 unique values
0 missing
att89nominal7 unique values
0 missing
att90nominal7 unique values
0 missing
att91nominal7 unique values
0 missing
att92nominal7 unique values
0 missing
att93nominal7 unique values
0 missing
att94nominal7 unique values
0 missing
att95nominal7 unique values
0 missing
att96nominal7 unique values
0 missing
att97nominal7 unique values
0 missing
att98nominal7 unique values
0 missing
att99nominal7 unique values
0 missing
att100nominal7 unique values
0 missing
att101nominal7 unique values
0 missing
att102nominal7 unique values
0 missing
att103nominal7 unique values
0 missing
att104nominal7 unique values
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att105nominal7 unique values
0 missing
att106nominal7 unique values
0 missing
att107nominal7 unique values
0 missing
att108nominal7 unique values
0 missing
att109nominal7 unique values
0 missing
att110nominal7 unique values
0 missing
att111nominal7 unique values
0 missing
att112nominal7 unique values
0 missing
att113nominal7 unique values
0 missing
att114nominal7 unique values
0 missing
att115nominal7 unique values
0 missing
att116nominal7 unique values
0 missing
att117nominal7 unique values
0 missing
att118nominal7 unique values
0 missing
att119nominal7 unique values
0 missing
att120nominal7 unique values
0 missing
att121nominal7 unique values
0 missing
att122nominal7 unique values
0 missing
att123nominal7 unique values
0 missing
att124nominal7 unique values
0 missing
att125nominal7 unique values
0 missing
att126nominal7 unique values
0 missing
att127nominal7 unique values
0 missing
att128nominal7 unique values
0 missing
att129nominal7 unique values
0 missing
att130nominal7 unique values
0 missing
att131nominal7 unique values
0 missing
att132nominal7 unique values
0 missing
att133nominal7 unique values
0 missing
att134nominal7 unique values
0 missing
att135nominal7 unique values
0 missing
att136nominal7 unique values
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att137nominal7 unique values
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att138nominal7 unique values
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att139nominal7 unique values
0 missing
att140nominal7 unique values
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att141nominal7 unique values
0 missing
att142nominal7 unique values
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att143nominal7 unique values
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att144nominal7 unique values
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att145nominal7 unique values
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att146nominal7 unique values
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att147nominal7 unique values
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att148nominal7 unique values
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att149nominal7 unique values
0 missing
att150nominal7 unique values
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att151nominal7 unique values
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att152nominal7 unique values
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att153nominal7 unique values
0 missing
att154nominal7 unique values
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att155nominal7 unique values
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att156nominal7 unique values
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att157nominal7 unique values
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att158nominal7 unique values
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att159nominal7 unique values
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att160nominal7 unique values
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att161nominal7 unique values
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att162nominal7 unique values
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att163nominal7 unique values
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att164nominal7 unique values
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att165nominal7 unique values
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att166nominal7 unique values
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att167nominal7 unique values
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att168nominal7 unique values
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att169nominal7 unique values
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att170nominal7 unique values
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att171nominal7 unique values
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att172nominal7 unique values
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att173nominal7 unique values
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att174nominal7 unique values
0 missing
att175nominal7 unique values
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att176nominal7 unique values
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att177nominal7 unique values
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att178nominal7 unique values
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att179nominal7 unique values
0 missing
att180nominal7 unique values
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att181nominal7 unique values
0 missing
att182nominal7 unique values
0 missing
att183nominal7 unique values
0 missing
att184nominal7 unique values
0 missing
att185nominal7 unique values
0 missing
att186nominal7 unique values
0 missing
att187nominal7 unique values
0 missing
att188nominal7 unique values
0 missing
att189nominal7 unique values
0 missing
att190nominal7 unique values
0 missing
att191nominal7 unique values
0 missing
att192nominal7 unique values
0 missing
att193nominal7 unique values
0 missing
att194nominal7 unique values
0 missing
att195nominal7 unique values
0 missing
att196nominal7 unique values
0 missing
att197nominal7 unique values
0 missing
att198nominal7 unique values
0 missing
att199nominal7 unique values
0 missing
att200nominal7 unique values
0 missing
att201nominal7 unique values
0 missing
att202nominal7 unique values
0 missing
att203nominal7 unique values
0 missing
att204nominal7 unique values
0 missing
att205nominal7 unique values
0 missing
att206nominal7 unique values
0 missing
att207nominal7 unique values
0 missing
att208nominal7 unique values
0 missing
att209nominal7 unique values
0 missing
att210nominal7 unique values
0 missing
att211nominal7 unique values
0 missing
att212nominal7 unique values
0 missing
att213nominal7 unique values
0 missing
att214nominal7 unique values
0 missing
att215nominal7 unique values
0 missing
att216nominal7 unique values
0 missing
att217nominal7 unique values
0 missing
att218nominal7 unique values
0 missing
att219nominal7 unique values
0 missing
att220nominal7 unique values
0 missing
att221nominal7 unique values
0 missing
att222nominal7 unique values
0 missing
att223nominal7 unique values
0 missing
att224nominal7 unique values
0 missing
att225nominal7 unique values
0 missing
att226nominal5 unique values
0 missing
att227nominal5 unique values
0 missing
att228nominal5 unique values
0 missing
att229nominal5 unique values
0 missing
att230nominal5 unique values
0 missing
att231nominal5 unique values
0 missing
att232nominal5 unique values
0 missing
att233nominal5 unique values
0 missing
att234nominal5 unique values
0 missing
att235nominal5 unique values
0 missing
att236nominal5 unique values
0 missing
att237nominal5 unique values
0 missing
att238nominal5 unique values
0 missing
att239nominal5 unique values
0 missing
att240nominal5 unique values
0 missing

108 properties

2000
Number of instances (rows) of the dataset.
241
Number of attributes (columns) of the dataset.
2
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.
0
Number of numeric attributes.
241
Number of nominal attributes.
0
DataQuality extracted from Fantail Library
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.12
Number of attributes divided by the number of instances.
0.17
Maximum mutual information between the nominal attributes and the target attribute.
0
Minimum skewness among attributes of the numeric type.
0.41
Percentage of binary attributes.
1.96
Third quartile of entropy among attributes.
1
Average class difference between consecutive instances.
0.04
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
11.65
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
7
The maximum number of distinct values among attributes of the nominal type.
0
DataQuality extracted from Fantail Library
0
Percentage of instances having missing values.
0
Third quartile of kurtosis among attributes of the numeric type.
0.96
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
0.8
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0
Maximum skewness among attributes of the numeric type.
0.1
Percentage of instances belonging to the least frequent class.
0
Percentage of missing values.
0
Third quartile of means among attributes of the numeric type.
0.02
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
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0
DataQuality extracted from Fantail Library
200
Number of instances belonging to the least frequent class.
0
Percentage of numeric attributes.
0.06
Third quartile of mutual information between the nominal attributes and the target attribute.
0.9
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
0.04
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.91
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.78
Average entropy of the attributes.
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
100
Percentage of nominal attributes.
0
DataQuality extracted from Fantail Library
0.96
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
0.8
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0
Mean kurtosis among attributes of the numeric type.
0.04
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1.63
First quartile of entropy among attributes.
0
DataQuality extracted from Fantail Library
0.02
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
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0
Mean of means among attributes of the numeric type.
0.79
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
First quartile of kurtosis among attributes of the numeric type.
0.97
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.9
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
0.04
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.91
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.04
Average mutual information between the nominal attributes and the target attribute.
43.31
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
First quartile of means among attributes of the numeric type.
0.02
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.96
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
0.8
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
6.87
Average number of distinct values among the attributes of the nominal type.
1
Number of binary attributes.
0.01
First quartile of mutual information between the nominal attributes and the target attribute.
0.88
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.02
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
0.49
Standard deviation of the number of distinct values among attributes of the nominal type.
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
0
Mean skewness among attributes of the numeric type.
0
First quartile of skewness among attributes of the numeric type.
0.97
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.9
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
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.91
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0
Mean standard deviation of attributes of the numeric type.
0
DataQuality extracted from Fantail Library
0.02
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.47
Entropy of the target attribute values.
0.01
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
90
Percentage of instances belonging to the most frequent class.
0.53
Minimal entropy among attributes.
1.79
Second quartile (Median) of entropy among attributes.
0.88
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.87
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.94
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
1800
Number of instances belonging to the most frequent class.
0
Minimum kurtosis among attributes of the numeric type.
0
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.97
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.1
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
2.49
Maximum entropy among attributes.
0
Minimum of means among attributes of the numeric type.
0
Second quartile (Median) of means among attributes of the numeric type.
0.02
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
0
Maximum kurtosis among attributes of the numeric type.
0
Minimal mutual information between the nominal attributes and the target attribute.
0.03
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.88
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.9
The predictive accuracy obtained by always predicting the majority class.
0
Maximum of means among attributes of the numeric type.
5
The minimal number of distinct values among attributes of the nominal type.
0
Second quartile (Median) of skewness among attributes of the numeric type.

4 tasks

499 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: binaryClass
201 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: binaryClass
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: binaryClass
0 runs - estimation_procedure: 50 times Clustering
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