Data
cm1_req

cm1_req

active ARFF Publicly available Visibility: public Uploaded 06-10-2014 by Joaquin Vanschoren
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9 features

DEFECT (target)nominal2 unique values
0 missing
ACTIONnumeric4 unique values
0 missing
CONDITIONALnumeric2 unique values
0 missing
CONTINUANCEnumeric3 unique values
0 missing
IMPERATIVEnumeric4 unique values
0 missing
OPTIONnumeric2 unique values
0 missing
RISK_LEVELnominal3 unique values
0 missing
SOURCEnumeric4 unique values
0 missing
WEAK_PHRASEnumeric2 unique values
0 missing

108 properties

89
Number of instances (rows) of the dataset.
9
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.
7
Number of numeric attributes.
2
Number of nominal attributes.
0
Maximum mutual information between the nominal attributes and the target attribute.
-75.96
Minimum skewness among attributes of the numeric type.
11.11
Percentage of binary attributes.
1
DataQuality extracted from Fantail Library
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.1
Number of attributes divided by the number of instances.
3
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.
1.52
Third quartile of entropy among attributes.
0.99
Average class difference between consecutive instances.
0.27
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
303.95
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
119.96
Maximum skewness among attributes of the numeric type.
0.22
Percentage of instances belonging to the least frequent class.
0
Percentage of missing values.
13.8
Third quartile of kurtosis among attributes of the numeric type.
0.36
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
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
21111483.87
DataQuality extracted from Fantail Library
20
Number of instances belonging to the least frequent class.
77.78
Percentage of numeric attributes.
17.66
Third quartile of means among attributes of the numeric type.
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
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.26
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.52
Average entropy of the attributes.
0.37
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
22.22
Percentage of nominal attributes.
0
Third quartile of mutual information between the nominal attributes and the target attribute.
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
0.27
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
-0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
79.19
Mean kurtosis among attributes of the numeric type.
0.54
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1.52
First quartile of entropy among attributes.
3.59
DataQuality extracted from Fantail Library
0.34
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
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
-5383.06
Mean of means among attributes of the numeric type.
-0.24
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-1.17
First quartile of kurtosis among attributes of the numeric type.
20.22
DataQuality extracted from Fantail Library
0.27
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
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.26
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0
Average mutual information between the nominal attributes and the target attribute.
601.21
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.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
-0.08
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
0.27
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
-0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
3
Average number of distinct values among the attributes of the nominal type.
1
Number of binary attributes.
0
First quartile of mutual information between the nominal attributes and the target attribute.
0.22
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.4
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
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
3.16
Mean skewness among attributes of the numeric type.
0.01
First quartile of skewness among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.28
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
Standard deviation of the number of distinct values among attributes of the nominal type.
0.26
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
5605.1
Mean standard deviation of attributes of the numeric type.
0.31
DataQuality extracted from Fantail Library
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
-0.05
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
0.36
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
-0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
1.52
Minimal entropy among attributes.
1.52
Second quartile (Median) of entropy among attributes.
0.22
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.77
Entropy of the target attribute values.
0.27
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
77.53
Percentage of instances belonging to the most frequent class.
-2
Minimum kurtosis among attributes of the numeric type.
0.26
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.43
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.06
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
69
Number of instances belonging to the most frequent class.
-91638847.15
Minimum of means among attributes of the numeric type.
0.12
Second quartile (Median) of means among attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.22
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
1.52
Maximum entropy among attributes.
0
Minimal mutual information between the nominal attributes and the target attribute.
0
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.22
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
14389
Maximum kurtosis among attributes of the numeric type.
3
The minimal number of distinct values among attributes of the nominal type.
0.69
Second quartile (Median) of skewness among attributes of the numeric type.
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.78
The predictive accuracy obtained by always predicting the majority class.
26074559.21
Maximum of means among attributes of the numeric type.

4 tasks

460 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: DEFECT
203 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: DEFECT
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: DEFECT
0 runs - estimation_procedure: 50 times Clustering
Define a new task

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