Run
2042314

Run 2042314

Task 145685 (Supervised Classification) creditcard Uploaded 17-04-2017 by Freek Rooks
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Flow

weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_Decisio nStump(1)Weka implementation of AttributeSelectedClassifier
weka.CostSensitiveClassifier_AdaBoostM1_DecisionStump(2)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_AdaBoostM1_DecisionStump(2)_S1
weka.CostSensitiveClassifier_AdaBoostM1_DecisionStump(2)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_DecisionStump(17)_P100
weka.AdaBoostM1_DecisionStump(17)_S1
weka.AdaBoostM1_DecisionStump(17)_I100
weka.AdaBoostM1_DecisionStump(17)_Wweka.classifiers.trees.DecisionStump
weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_DecisionStump(1)_Eweka.attributeSelection.CorrelationAttributeEval
weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_DecisionStump(1)_Sweka.attributeSelection.Ranker -T -1.7976931348623157E308 -N 15
weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_DecisionStump(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
0.9713
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1154
Cross-validation details (10-fold Crossvalidation)
F measure
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1362
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-47336942.4016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0553
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
0.981
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.981
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
16.014
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1337
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.2203
Cross-validation details (10-fold Crossvalidation)
Total cost
32859
Cross-validation details (10-fold Crossvalidation)