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fbis.wc

fbis.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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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
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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
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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
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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
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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
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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
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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
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0 missing
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0 missing
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0 missing
word-111numeric31 unique values
0 missing
word-367numeric10 unique values
0 missing
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0 missing
word-879numeric12 unique values
0 missing
word-1135numeric8 unique values
0 missing
word-1391numeric8 unique values
0 missing
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0 missing
word-1903numeric6 unique values
0 missing
word-112numeric2 unique values
0 missing
word-368numeric7 unique values
0 missing
word-624numeric27 unique values
0 missing
word-880numeric17 unique values
0 missing
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0 missing
word-1392numeric9 unique values
0 missing
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0 missing
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0 missing
word-113numeric37 unique values
0 missing
word-369numeric10 unique values
0 missing
word-625numeric20 unique values
0 missing
word-881numeric17 unique values
0 missing
word-1137numeric5 unique values
0 missing
word-1393numeric6 unique values
0 missing
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0 missing
word-1905numeric10 unique values
0 missing
word-114numeric31 unique values
0 missing
word-370numeric28 unique values
0 missing
word-626numeric23 unique values
0 missing
word-882numeric10 unique values
0 missing
word-1138numeric10 unique values
0 missing
word-1394numeric9 unique values
0 missing
word-1650numeric12 unique values
0 missing
word-1906numeric8 unique values
0 missing
word-115numeric21 unique values
0 missing
word-371numeric12 unique values
0 missing
word-627numeric9 unique values
0 missing
word-883numeric9 unique values
0 missing
word-1139numeric4 unique values
0 missing
word-1395numeric8 unique values
0 missing
word-1651numeric10 unique values
0 missing
word-1907numeric6 unique values
0 missing
word-116numeric19 unique values
0 missing
word-372numeric9 unique values
0 missing
word-628numeric11 unique values
0 missing
word-884numeric14 unique values
0 missing
word-1140numeric8 unique values
0 missing
word-1396numeric9 unique values
0 missing
word-1652numeric9 unique values
0 missing
word-1908numeric7 unique values
0 missing
word-117numeric17 unique values
0 missing
word-373numeric9 unique values
0 missing
word-629numeric30 unique values
0 missing
word-885numeric15 unique values
0 missing
word-1141numeric13 unique values
0 missing
word-1397numeric8 unique values
0 missing
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0 missing
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0 missing
word-118numeric2 unique values
0 missing
word-374numeric8 unique values
0 missing
word-630numeric8 unique values
0 missing
word-886numeric8 unique values
0 missing
word-1142numeric7 unique values
0 missing
word-1398numeric11 unique values
0 missing
word-1654numeric14 unique values
0 missing
word-1910numeric6 unique values
0 missing
word-119numeric16 unique values
0 missing
word-375numeric7 unique values
0 missing
word-631numeric7 unique values
0 missing
word-887numeric15 unique values
0 missing
word-1143numeric5 unique values
0 missing
word-1399numeric7 unique values
0 missing
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0 missing
word-1911numeric5 unique values
0 missing
word-120numeric16 unique values
0 missing
word-376numeric9 unique values
0 missing
word-632numeric7 unique values
0 missing
word-888numeric14 unique values
0 missing
word-1144numeric12 unique values
0 missing
word-1400numeric10 unique values
0 missing
word-1656numeric8 unique values
0 missing
word-1912numeric3 unique values
0 missing
word-121numeric29 unique values
0 missing
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0 missing
word-633numeric6 unique values
0 missing
word-889numeric16 unique values
0 missing
word-1145numeric12 unique values
0 missing
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0 missing
word-1657numeric7 unique values
0 missing
word-1913numeric9 unique values
0 missing
word-122numeric19 unique values
0 missing
word-378numeric10 unique values
0 missing
word-634numeric8 unique values
0 missing
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0 missing
word-1146numeric14 unique values
0 missing
word-1402numeric12 unique values
0 missing
word-1658numeric5 unique values
0 missing
word-1914numeric6 unique values
0 missing
word-123numeric19 unique values
0 missing
word-379numeric19 unique values
0 missing
word-635numeric45 unique values
0 missing
word-891numeric12 unique values
0 missing
word-1147numeric9 unique values
0 missing
word-1403numeric12 unique values
0 missing
word-1659numeric6 unique values
0 missing
word-1915numeric8 unique values
0 missing
word-124numeric13 unique values
0 missing
word-380numeric12 unique values
0 missing
word-636numeric13 unique values
0 missing
word-892numeric20 unique values
0 missing
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0 missing
word-1404numeric11 unique values
0 missing
word-1660numeric10 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
2463
Number of instances (rows) of the dataset.
NumberOfFeatures
2001
Number of attributes (columns) of the dataset.
NumberOfClasses
17
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
2000
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Quartile1SkewnessOfNumericAtts
9.75
First quartile of skewness among attributes of the numeric type.
REPTreeDepth1Kappa
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
CfsSubsetEval_kNN1NAUC
0.89
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
J48.001.ErrRate
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
MeanNominalAttDistinctValues
17
Average number of distinct values among the attributes of the nominal type.
Quartile1StdDevOfNumericAtts
0.4
First quartile of standard deviation of attributes of the numeric type.
REPTreeDepth2AUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
CfsSubsetEval_kNN1NErrRate
0.26
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
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
J48.001.Kappa
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MeanSkewnessOfNumericAtts
15.72
Mean skewness among attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
REPTreeDepth2ErrRate
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
CfsSubsetEval_kNN1NKappa
0.71
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
0.52
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
MajorityClassPercentage
20.54
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
1.19
Mean standard deviation of attributes of the numeric type.
Quartile2KurtosisOfNumericAtts
241.32
Second quartile (Median) of kurtosis among attributes of the numeric type.
REPTreeDepth2Kappa
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
ClassEntropy
3.58
Entropy of the target attribute values.
kNN1NKappa
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
MajorityClassSize
506
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2MeansOfNumericAtts
0.11
Second quartile (Median) of means among attributes of the numeric type.
REPTreeDepth3AUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
DecisionStumpAUC
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.89
Minimum kurtosis among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
REPTreeDepth3ErrRate
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
DecisionStumpErrRate
0.64
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
MaxKurtosisOfNumericAtts
2449.58
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0
Minimum of means among attributes of the numeric type.
Quartile2SkewnessOfNumericAtts
13.27
Second quartile (Median) of skewness among attributes of the numeric type.
REPTreeDepth3Kappa
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
DecisionStumpKappa
0.2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
MaxMeansOfNumericAtts
3.75
Maximum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.72
Second quartile (Median) of standard deviation of attributes of the numeric type.
RandomTreeDepth1AUC
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Dimensionality
0.81
Number of attributes divided by the number of instances.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
17
The minimal number of distinct values among attributes of the nominal type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
RandomTreeDepth1ErrRate
0.56
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
17
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.43
Minimum skewness among attributes of the numeric type.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
497.46
Third quartile of kurtosis among attributes of the numeric type.
AutoCorrelation
0.12
Average class difference between consecutive instances.
RandomTreeDepth1Kappa
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
J48.00001.AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
MaxSkewnessOfNumericAtts
49.43
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.07
Minimum standard deviation of attributes of the numeric type.
PercentageOfNumericFeatures
99.95
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
0.25
Third quartile of means among attributes of the numeric type.
CfsSubsetEval_DecisionStumpAUC
0.89
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
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
J48.00001.ErrRate
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
MaxStdDevOfNumericAtts
15.5
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
1.54
Percentage of instances belonging to the least frequent class.
PercentageOfSymbolicFeatures
0.05
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
CfsSubsetEval_DecisionStumpErrRate
0.26
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
0.56
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
J48.00001.Kappa
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
38
Number of instances belonging to the least frequent class.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
19.29
Third quartile of skewness among attributes of the numeric type.
CfsSubsetEval_DecisionStumpKappa
0.71
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
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
J48.0001.AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
MeanKurtosisOfNumericAtts
406.33
Mean kurtosis among attributes of the numeric type.
NaiveBayesAUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
Quartile1KurtosisOfNumericAtts
129.75
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
1.33
Third quartile of standard deviation of attributes of the numeric type.
CfsSubsetEval_NaiveBayesAUC
0.89
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
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
J48.0001.ErrRate
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
MeanMeansOfNumericAtts
0.22
Mean of means among attributes of the numeric type.
NaiveBayesErrRate
0.38
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
Quartile1MeansOfNumericAtts
0.05
First quartile of means among attributes of the numeric type.
REPTreeDepth1AUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
CfsSubsetEval_NaiveBayesErrRate
0.26
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
0.56
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
J48.0001.Kappa
0.67
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
0.57
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
REPTreeDepth1ErrRate
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
CfsSubsetEval_NaiveBayesKappa
0.71
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
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
J48.001.AUC
0.88
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
0
Number of binary attributes.
Show all 107 properties

84 tasks

Supervised Classification on fbis.wc
289 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
Supervised Classification on fbis.wc
104 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
Supervised Classification on fbis.wc
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
Learning Curve on fbis.wc
33 runs - estimation_procedure: 10-fold Learning Curve - target_feature: CLASS_LABEL
Supervised Data Stream Classification on fbis.wc
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Clustering on fbis.wc
0 runs - estimation_procedure: 50 times Clustering
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
Subgroup Discovery on fbis.wc
0 runs - target_feature: CLASS_LABEL
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