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fbis.wc

fbis.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Felicia West
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2001 features

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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-842numeric10 unique values
0 missing
word-843numeric10 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
word-848numeric11 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
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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-877numeric13 unique values
0 missing
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0 missing
word-879numeric12 unique values
0 missing
word-880numeric17 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
word-885numeric15 unique values
0 missing
word-886numeric8 unique values
0 missing
word-887numeric15 unique values
0 missing
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0 missing
word-889numeric16 unique values
0 missing
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0 missing
word-891numeric12 unique values
0 missing
word-892numeric20 unique values
0 missing
word-893numeric6 unique values
0 missing
word-894numeric6 unique values
0 missing
word-895numeric8 unique values
0 missing
word-896numeric11 unique values
0 missing
word-897numeric26 unique values
0 missing
word-898numeric3 unique values
0 missing
word-899numeric7 unique values
0 missing
word-900numeric14 unique values
0 missing
word-901numeric10 unique values
0 missing
word-902numeric29 unique values
0 missing
word-903numeric12 unique values
0 missing
word-904numeric11 unique values
0 missing
word-905numeric28 unique values
0 missing
word-906numeric5 unique values
0 missing
word-907numeric9 unique values
0 missing
word-908numeric17 unique values
0 missing
word-909numeric8 unique values
0 missing
word-910numeric10 unique values
0 missing
word-911numeric12 unique values
0 missing
word-912numeric5 unique values
0 missing
word-913numeric7 unique values
0 missing
word-914numeric9 unique values
0 missing
word-915numeric15 unique values
0 missing
word-916numeric14 unique values
0 missing
word-917numeric7 unique values
0 missing
word-918numeric7 unique values
0 missing
word-919numeric15 unique values
0 missing
word-920numeric9 unique values
0 missing
word-921numeric10 unique values
0 missing
word-922numeric12 unique values
0 missing
word-923numeric18 unique values
0 missing
word-924numeric8 unique values
0 missing
word-925numeric34 unique values
0 missing
word-926numeric7 unique values
0 missing
word-927numeric15 unique values
0 missing
word-928numeric12 unique values
0 missing
word-929numeric10 unique values
0 missing
word-930numeric16 unique values
0 missing
word-931numeric14 unique values
0 missing
word-932numeric9 unique values
0 missing
word-933numeric7 unique values
0 missing
word-934numeric11 unique values
0 missing
word-935numeric6 unique values
0 missing
word-936numeric10 unique values
0 missing
word-937numeric12 unique values
0 missing
word-938numeric10 unique values
0 missing
word-939numeric14 unique values
0 missing
word-940numeric13 unique values
0 missing
word-941numeric7 unique values
0 missing
word-942numeric8 unique values
0 missing
word-943numeric8 unique values
0 missing
word-944numeric6 unique values
0 missing
word-945numeric17 unique values
0 missing
word-946numeric10 unique values
0 missing
word-947numeric8 unique values
0 missing
word-948numeric19 unique values
0 missing
word-949numeric15 unique values
0 missing
word-950numeric7 unique values
0 missing
word-951numeric7 unique values
0 missing
word-952numeric7 unique values
0 missing
word-953numeric11 unique values
0 missing
word-954numeric4 unique values
0 missing
word-955numeric11 unique values
0 missing
word-956numeric14 unique values
0 missing
word-957numeric8 unique values
0 missing
word-958numeric11 unique values
0 missing
word-959numeric4 unique values
0 missing
word-960numeric13 unique values
0 missing
word-961numeric7 unique values
0 missing
word-962numeric34 unique values
0 missing
word-963numeric13 unique values
0 missing
word-964numeric7 unique values
0 missing
word-965numeric13 unique values
0 missing
word-966numeric5 unique values
0 missing
word-967numeric8 unique values
0 missing
word-968numeric8 unique values
0 missing
word-969numeric7 unique values
0 missing
word-970numeric16 unique values
0 missing
word-971numeric12 unique values
0 missing
word-972numeric6 unique values
0 missing
word-973numeric7 unique values
0 missing
word-974numeric11 unique values
0 missing
word-975numeric13 unique values
0 missing
word-976numeric11 unique values
0 missing
word-977numeric10 unique values
0 missing
word-978numeric12 unique values
0 missing
word-979numeric14 unique values
0 missing
word-980numeric5 unique values
0 missing
word-981numeric10 unique values
0 missing
word-982numeric15 unique values
0 missing
word-983numeric14 unique values
0 missing
word-984numeric12 unique values
0 missing
word-985numeric11 unique values
0 missing
word-986numeric11 unique values
0 missing
word-987numeric13 unique values
0 missing
word-988numeric10 unique values
0 missing
word-989numeric23 unique values
0 missing
word-990numeric12 unique values
0 missing
word-991numeric7 unique values
0 missing
word-992numeric14 unique values
0 missing
word-993numeric11 unique values
0 missing
word-994numeric4 unique values
0 missing
word-995numeric5 unique values
0 missing
word-996numeric5 unique values
0 missing
word-997numeric32 unique values
0 missing
word-998numeric10 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.
0.12
Average class difference between consecutive instances.
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
0.26
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
0.71
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
0.89
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
0.26
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
0.71
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
0.89
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
0.26
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
0.71
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
3.58
Entropy of the target attribute values.
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.64
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
0.2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
0.81
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
20.54
Percentage of instances belonging to the most frequent class.
506
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
2449.58
Maximum kurtosis among attributes of the numeric type.
3.75
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
17
The maximum number of distinct values among attributes of the nominal type.
49.43
Maximum skewness among attributes of the numeric type.
15.5
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
406.33
Mean kurtosis among attributes of the numeric type.
0.22
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
17
Average number of distinct values among the attributes of the nominal type.
15.72
Mean skewness among attributes of the numeric type.
1.19
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-1.89
Minimum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
17
The minimal number of distinct values among attributes of the nominal type.
-1.43
Minimum skewness among attributes of the numeric type.
0.07
Minimum standard deviation of attributes of the numeric type.
1.54
Percentage of instances belonging to the least frequent class.
38
Number of instances belonging to the least frequent class.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.38
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.57
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
99.95
Percentage of numeric attributes.
0.05
Percentage of nominal attributes.
First quartile of entropy among attributes.
129.75
First quartile of kurtosis among attributes of the numeric type.
0.05
First quartile of means among attributes of the numeric type.
First quartile of mutual information between the nominal attributes and the target attribute.
9.75
First quartile of skewness among attributes of the numeric type.
0.4
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
241.32
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.11
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
13.27
Second quartile (Median) of skewness among attributes of the numeric type.
0.72
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
497.46
Third quartile of kurtosis among attributes of the numeric type.
0.25
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
19.29
Third quartile of skewness among attributes of the numeric type.
1.33
Third quartile of standard deviation of attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.56
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.56
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.56
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.52
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

84 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 - 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 - 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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0 runs - target_feature: CLASS_LABEL
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