Run
2041981

Run 2041981

Task 145685 (Supervised Classification) creditcard Uploaded 15-04-2017 by Freek Rooks
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Flow

weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_REPTree (1)Weka implementation of AttributeSelectedClassifier
weka.REPTree(18)_M2
weka.REPTree(18)_V0.001
weka.REPTree(18)_N3
weka.REPTree(18)_S1
weka.REPTree(18)_L3
weka.REPTree(18)_I0.0
weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Eweka.attributeSelection.CorrelationAttributeEval
weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Sweka.attributeSelection.Ranker -T -1.7976931348623157E308 -N 20
weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(8)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(8)_S1
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(8)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_REPTree(12)_P100
weka.AdaBoostM1_REPTree(12)_S1
weka.AdaBoostM1_REPTree(12)_I100
weka.AdaBoostM1_REPTree(12)_Wweka.classifiers.trees.REPTree

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
0.9676
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1202
Cross-validation details (10-fold Crossvalidation)
F measure
0.9891
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1379
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-22766011.0624
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0333
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
0.9814
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9814
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
9.6395
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1212
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.9187
Cross-validation details (10-fold Crossvalidation)
Total cost
34244
Cross-validation details (10-fold Crossvalidation)