Run
2070711

Run 2070711

Task 145685 (Supervised Classification) creditcard Uploaded 19-04-2017 by Daan Vijselaar
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Flow

weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_J48(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.FilteredClassifier_J48(3)_Fweka.filters.unsupervised.instance.RemovePercentage -P 90.0
weka.FilteredClassifier_J48(3)_Wweka.classifiers.trees.J48
weka.CostSensitiveClassifier_FilteredClassifier_J48(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_FilteredClassifier_J48(1)_S1
weka.CostSensitiveClassifier_FilteredClassifier_J48(1)_Wweka.classifiers.meta.FilteredClassifier
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_J48(1)_P100
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_J48(1)_S1
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_J48(1)_I10
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_J48(1)_Wweka.classifiers.meta.CostSensitiveClassifier

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9176
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1686
Cross-validation details (10-fold Crossvalidation)
F measure
0.9995
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8616
Cross-validation details (10-fold Crossvalidation)
KB relative information score
217930.4741
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0035
Cross-validation details (10-fold Crossvalidation)
Number of instances
284807
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9995
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9996
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1295
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0206
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Total cost
48031
Cross-validation details (10-fold Crossvalidation)