Run
2042292

Run 2042292

Task 145685 (Supervised Classification) creditcard Uploaded 17-04-2017 by Olof Morra
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Flow

weka.AdaBoostM1_CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBa yes(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.AttributeSelectedClassifier_NaiveBayes(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_NaiveBayes(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes(1)_S1
weka.CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AdaBoostM1_CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes(1)_P100
weka.AdaBoostM1_CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes(1)_S1
weka.AdaBoostM1_CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes(1)_I10
weka.AdaBoostM1_CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes(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
0.9496
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1435
Cross-validation details (10-fold Crossvalidation)
F measure
0.9898
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1424
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-44314030.967
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0306
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
0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9826
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9826
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
8.8657
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1301
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.1327
Cross-validation details (10-fold Crossvalidation)
Total cost
40877
Cross-validation details (10-fold Crossvalidation)