Run
2082984

Run 2082984

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

weka.CostSensitiveClassifier_FilteredClassifier_AttributeSelectedClassifier _RandomForest(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.RandomForest(12)_depth600
weka.AttributeSelectedClassifier_RandomForest(2)_Eweka.attributeSelection.OneRAttributeEval -S 1 -F 10 -B 6
weka.AttributeSelectedClassifier_RandomForest(2)_Sweka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1
weka.AttributeSelectedClassifier_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)_Fweka.filters.supervised.instance.Resample -B 0.0 -S 1 -Z 2.0
weka.FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.CostSensitiveClassifier_FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)_Mtrue
weka.CostSensitiveClassifier_FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)_S1
weka.CostSensitiveClassifier_FilteredClassifier_AttributeSelectedClassifier_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
0.911
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1592
Cross-validation details (10-fold Crossvalidation)
F measure
0.978
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0661
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5408827.9793
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.04
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
0.9981
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
11.5937
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
4.8178
Cross-validation details (10-fold Crossvalidation)
Total cost
45332
Cross-validation details (10-fold Crossvalidation)