Run
2040628

Run 2040628

Task 145685 (Supervised Classification) creditcard Uploaded 13-04-2017 by Daan Dinkla
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Flow

weka.AdaBoostM1_CostSensitiveClassifier_Logistic(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_CostSensitiveClassifier_Logistic(2)_P100
weka.AdaBoostM1_CostSensitiveClassifier_Logistic(2)_S1
weka.AdaBoostM1_CostSensitiveClassifier_Logistic(2)_I10
weka.AdaBoostM1_CostSensitiveClassifier_Logistic(2)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.CostSensitiveClassifier_Logistic(4)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_Logistic(4)_S1
weka.CostSensitiveClassifier_Logistic(4)_Wweka.classifiers.functions.Logistic
weka.Logistic(9)_R1.0E-8
weka.Logistic(9)_M-1
weka.Logistic(9)_num-decimal-places4

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
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.114
Cross-validation details (10-fold Crossvalidation)
F measure
0.9887
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1343
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-54553280.886
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0638
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
0.9806
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9806
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
18.4735
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1391
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.3502
Cross-validation details (10-fold Crossvalidation)
Total cost
32460
Cross-validation details (10-fold Crossvalidation)