Run
2081911

Run 2081911

Task 145685 (Supervised Classification) creditcard Uploaded 21-04-2017 by Zeno van Cauter
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Flow

weka.CostSensitiveClassifier_AdaBoostM1_CostSensitiveClassifier_SimpleLogis tic(1)Weka implementation of CostSensitiveClassifier
weka.SimpleLogistic(6)_I275
weka.SimpleLogistic(6)_M550
weka.SimpleLogistic(6)_H1000
weka.SimpleLogistic(6)_W0.0
weka.CostSensitiveClassifier_SimpleLogistic(2)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_SimpleLogistic(2)_S1
weka.CostSensitiveClassifier_SimpleLogistic(2)_Wweka.classifiers.functions.SimpleLogistic
weka.AdaBoostM1_CostSensitiveClassifier_SimpleLogistic(1)_P100
weka.AdaBoostM1_CostSensitiveClassifier_SimpleLogistic(1)_S1
weka.AdaBoostM1_CostSensitiveClassifier_SimpleLogistic(1)_I10
weka.AdaBoostM1_CostSensitiveClassifier_SimpleLogistic(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.CostSensitiveClassifier_AdaBoostM1_CostSensitiveClassifier_SimpleLogistic(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_AdaBoostM1_CostSensitiveClassifier_SimpleLogistic(1)_S1
weka.CostSensitiveClassifier_AdaBoostM1_CostSensitiveClassifier_SimpleLogistic(1)_Wweka.classifiers.meta.AdaBoostM1

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
0.8441
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.6092
Cross-validation details (10-fold Crossvalidation)
F measure
0.569
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0022
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-117796768.9804
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5653
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
0.3996
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.3996
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
163.7333
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6535
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
15.7362
Cross-validation details (10-fold Crossvalidation)
Total cost
173498
Cross-validation details (10-fold Crossvalidation)