Run
2083154

Run 2083154

Task 145685 (Supervised Classification) creditcard Uploaded 21-04-2017 by Des Spreeuwenberg
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Flow

weka.AdaBoostM1_AdaBoostM1_CostSensitiveClassifier_REPTree(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.REPTree(18)_M2
weka.REPTree(18)_V0.001
weka.REPTree(18)_N3
weka.REPTree(18)_S1
weka.REPTree(18)_L-1
weka.REPTree(18)_I0.0
weka.CostSensitiveClassifier_REPTree(8)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_REPTree(8)_S1
weka.CostSensitiveClassifier_REPTree(8)_Wweka.classifiers.trees.REPTree
weka.AdaBoostM1_AdaBoostM1_CostSensitiveClassifier_REPTree(1)_P100
weka.AdaBoostM1_AdaBoostM1_CostSensitiveClassifier_REPTree(1)_S1
weka.AdaBoostM1_AdaBoostM1_CostSensitiveClassifier_REPTree(1)_I10
weka.AdaBoostM1_AdaBoostM1_CostSensitiveClassifier_REPTree(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_CostSensitiveClassifier_REPTree(2)_P100
weka.AdaBoostM1_CostSensitiveClassifier_REPTree(2)_S1
weka.AdaBoostM1_CostSensitiveClassifier_REPTree(2)_I10
weka.AdaBoostM1_CostSensitiveClassifier_REPTree(2)_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
0.9126
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1879
Cross-validation details (10-fold Crossvalidation)
F measure
0.9995
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
221064.0142
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0005
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
0.9995
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9995
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1329
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0212
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.511
Cross-validation details (10-fold Crossvalidation)
Total cost
53523
Cross-validation details (10-fold Crossvalidation)