Run
2082953

Run 2082953

Task 145685 (Supervised Classification) creditcard Uploaded 21-04-2017 by Ji Hun Yang
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Flow

weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_RandomForest(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.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.RandomForest(12)_depth500
weka.FilteredClassifier_RandomForest(4)_Fweka.filters.supervised.instance.Resample -B 0.0 -S 1 -Z 0.1
weka.FilteredClassifier_RandomForest(4)_Wweka.classifiers.trees.RandomForest
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(2)_cost-matrix[0.0 1.0; 1.0 0.0]
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(2)_S1
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(2)_Wweka.classifiers.meta.FilteredClassifier
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_P100
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_S1
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_I10
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_RandomForest(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
0.9596
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1986
Cross-validation details (10-fold Crossvalidation)
F measure
0.9994
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8218
Cross-validation details (10-fold Crossvalidation)
KB relative information score
82579.2553
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0007
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
0.9994
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9994
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9994
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.199
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0225
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5421
Cross-validation details (10-fold Crossvalidation)
Total cost
56551
Cross-validation details (10-fold Crossvalidation)