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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
word-1901numeric6 unique values
0 missing
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0 missing
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0 missing
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0 missing
word-878numeric9 unique values
0 missing
word-1134numeric14 unique values
0 missing
word-1390numeric8 unique values
0 missing
word-1646numeric10 unique values
0 missing
word-1902numeric6 unique values
0 missing
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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
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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
word-1136numeric10 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
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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-371numeric12 unique values
0 missing
word-627numeric9 unique values
0 missing
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0 missing
word-1139numeric4 unique values
0 missing
word-1395numeric8 unique values
0 missing
word-1651numeric10 unique values
0 missing
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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
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0 missing
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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
word-1653numeric5 unique values
0 missing
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0 missing
word-118numeric2 unique values
0 missing
word-374numeric8 unique values
0 missing
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0 missing
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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
word-1655numeric8 unique values
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
word-377numeric10 unique values
0 missing
word-633numeric6 unique values
0 missing
word-889numeric16 unique values
0 missing
word-1145numeric12 unique values
0 missing
word-1401numeric7 unique values
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
word-890numeric9 unique values
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
word-1148numeric6 unique values
0 missing
word-1404numeric11 unique values
0 missing
word-1660numeric10 unique values
0 missing

107 properties

2463
Number of instances (rows) of the dataset.
2001
Number of attributes (columns) of the dataset.
17
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.
2000
Number of numeric attributes.
1
Number of nominal attributes.
13.27
Second quartile (Median) of skewness among attributes of the numeric type.
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
3.75
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0.72
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.81
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
17
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
Third quartile of entropy among attributes.
0.56
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.
17
The maximum number of distinct values among attributes of the nominal type.
-1.43
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
497.46
Third quartile of kurtosis among attributes of the numeric type.
0.12
Average class difference between consecutive instances.
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
49.43
Maximum skewness among attributes of the numeric type.
0.07
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
0.25
Third quartile of means among attributes of the numeric type.
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
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
15.5
Maximum standard deviation of attributes of the numeric type.
1.54
Percentage of instances belonging to the least frequent class.
99.95
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
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
0.56
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
38
Number of instances belonging to the least frequent class.
0.05
Percentage of nominal attributes.
19.29
Third quartile of skewness among attributes of the numeric type.
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
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
406.33
Mean kurtosis among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
1.33
Third quartile of standard deviation of attributes of the numeric type.
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
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.22
Mean of means among attributes of the numeric type.
0.38
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
129.75
First quartile of kurtosis among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.56
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.57
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.05
First quartile of means among attributes of the numeric type.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.88
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.
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
17
Average number of distinct values among the attributes of the nominal type.
9.75
First quartile of skewness among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
15.72
Mean skewness among attributes of the numeric type.
0.4
First quartile of standard deviation of attributes of the numeric type.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
0.52
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
20.54
Percentage of instances belonging to the most frequent class.
1.19
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
3.58
Entropy of the target attribute values.
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
506
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
241.32
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.89
Minimum kurtosis among attributes of the numeric type.
0.11
Second quartile (Median) of means among attributes of the numeric type.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.64
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
2449.58
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

76 tasks

289 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
104 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
33 runs - estimation_procedure: 10-fold Learning Curve - target_feature: CLASS_LABEL
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
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