Data
BNG(spectf_test)

BNG(spectf_test)

active ARFF public domain Visibility: public Uploaded 12-11-2014 by Jan van Rijn
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45 features

OVERALL_DIAGNOSIS (target)nominal2 unique values
0 missing
F1Rnumeric978098 unique values
0 missing
F1Snumeric981237 unique values
0 missing
F2Rnumeric973806 unique values
0 missing
F2Snumeric975042 unique values
0 missing
F3Rnumeric977649 unique values
0 missing
F3Snumeric977953 unique values
0 missing
F4Rnumeric968305 unique values
0 missing
F4Snumeric974395 unique values
0 missing
F5Rnumeric972742 unique values
0 missing
F5Snumeric977596 unique values
0 missing
F6Rnumeric968653 unique values
0 missing
F6Snumeric972951 unique values
0 missing
F7Rnumeric974326 unique values
0 missing
F7Snumeric972893 unique values
0 missing
F8Rnumeric978982 unique values
0 missing
F8Snumeric979891 unique values
0 missing
F9Rnumeric972960 unique values
0 missing
F9Snumeric972826 unique values
0 missing
F10Rnumeric978512 unique values
0 missing
F10Snumeric978667 unique values
0 missing
F11Rnumeric963667 unique values
0 missing
F11Snumeric974262 unique values
0 missing
F12Rnumeric977460 unique values
0 missing
F12Snumeric979526 unique values
0 missing
F13Rnumeric984761 unique values
0 missing
F13Snumeric986097 unique values
0 missing
F14Rnumeric977889 unique values
0 missing
F14Snumeric980631 unique values
0 missing
F15Rnumeric977020 unique values
0 missing
F15Snumeric975805 unique values
0 missing
F16Rnumeric960760 unique values
0 missing
F16Snumeric960960 unique values
0 missing
F17Rnumeric967526 unique values
0 missing
F17Snumeric971015 unique values
0 missing
F18Rnumeric966071 unique values
0 missing
F18Snumeric970413 unique values
0 missing
F19Rnumeric975844 unique values
0 missing
F19Snumeric978485 unique values
0 missing
F20Rnumeric977587 unique values
0 missing
F20Snumeric980385 unique values
0 missing
F21Rnumeric981551 unique values
0 missing
F21Snumeric983478 unique values
0 missing
F22Rnumeric983287 unique values
0 missing
F22Snumeric985176 unique values
0 missing

107 properties

1000000
Number of instances (rows) of the dataset.
45
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.
44
Number of numeric attributes.
1
Number of nominal attributes.
3.18
Third quartile of kurtosis among attributes of the numeric type.
0.66
Average class difference between consecutive instances.
0.15
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
-0.74
Maximum skewness among attributes of the numeric type.
6.21
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
67.75
Third quartile of means among attributes of the numeric type.
0.5
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
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.19
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
14.56
Maximum standard deviation of attributes of the numeric type.
21.52
Percentage of instances belonging to the least frequent class.
97.78
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.22
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
0.29
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
215190
Number of instances belonging to the least frequent class.
2.22
Percentage of nominal attributes.
-1.1
Third quartile of skewness among attributes of the numeric type.
0
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
0.15
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
2.3
Mean kurtosis among attributes of the numeric type.
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
10.89
Third quartile of standard deviation of attributes of the numeric type.
0.5
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
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.19
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
64.76
Mean of means among attributes of the numeric type.
0.4
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1.25
First quartile of kurtosis among attributes of the numeric type.
0.79
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.22
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
0.29
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.17
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
61.64
First quartile of means among attributes of the numeric type.
0.19
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0
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
0.15
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.74
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.
1
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.5
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.
0.19
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
2
Average number of distinct values among the attributes of the nominal type.
-1.72
First quartile of skewness among attributes of the numeric type.
0.79
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.22
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
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
-1.42
Mean skewness among attributes of the numeric type.
7.99
First quartile of standard deviation of attributes of the numeric type.
0.19
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0
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
0.31
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
78.48
Percentage of instances belonging to the most frequent class.
9.53
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.75
Entropy of the target attribute values.
0.09
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
784810
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
2.12
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.79
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
0.52
Minimum kurtosis among attributes of the numeric type.
64.75
Second quartile (Median) of means among attributes of the numeric type.
0.19
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.22
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
5.04
Maximum kurtosis among attributes of the numeric type.
50.68
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
74.24
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
-1.39
Second quartile (Median) of skewness among attributes of the numeric type.
9.16
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
2.22
Percentage of binary attributes.
Third quartile of entropy among attributes.
0.29
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.
2
The maximum number of distinct values among attributes of the nominal type.
-2.17
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.

4 tasks

0 runs - estimation_procedure: 33% Holdout set - target_feature: OVERALL_DIAGNOSIS
43 runs - estimation_procedure: Interleaved Test then Train - target_feature: OVERALL_DIAGNOSIS
0 runs - estimation_procedure: 50 times Clustering
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