Run
2040488

Run 2040488

Task 145685 (Supervised Classification) creditcard Uploaded 11-04-2017 by Wouter Nuijten
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Flow

weka.CostSensitiveClassifier_FilteredClassifier_FilteredClassifier_RandomFo rest(1)Weka implementation of CostSensitiveClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.FilteredClassifier_RandomForest(4)_Fweka.filters.unsupervised.instance.RemoveWithValues -S 0.0 -C last -L 2
weka.FilteredClassifier_RandomForest(4)_Wweka.classifiers.trees.RandomForest
weka.FilteredClassifier_FilteredClassifier_RandomForest(1)_Fweka.filters.unsupervised.attribute.InterquartileRange -R first-last -O 3.0 -E 6.0
weka.FilteredClassifier_FilteredClassifier_RandomForest(1)_Wweka.classifiers.meta.FilteredClassifier
weka.CostSensitiveClassifier_FilteredClassifier_FilteredClassifier_RandomForest(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_FilteredClassifier_FilteredClassifier_RandomForest(1)_S1
weka.CostSensitiveClassifier_FilteredClassifier_FilteredClassifier_RandomForest(1)_Wweka.classifiers.meta.FilteredClassifier

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
0.8515
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.3249
Cross-validation details (10-fold Crossvalidation)
F measure
0.9992
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7403
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1930203.2861
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0016
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
0.9992
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9992
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9992
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4706
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0272
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6547
Cross-validation details (10-fold Crossvalidation)
Total cost
92530
Cross-validation details (10-fold Crossvalidation)