Run
2081489

Run 2081489

Task 145685 (Supervised Classification) creditcard Uploaded 21-04-2017 by Irma van den Brandt
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Flow

weka.MultiBoostAB_CostSensitiveClassifier_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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.CostSensitiveClassifier_RandomForest(5)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_RandomForest(5)_S1
weka.CostSensitiveClassifier_RandomForest(5)_Wweka.classifiers.trees.RandomForest
weka.MultiBoostAB_CostSensitiveClassifier_RandomForest(1)_C3
weka.MultiBoostAB_CostSensitiveClassifier_RandomForest(1)_P100
weka.MultiBoostAB_CostSensitiveClassifier_RandomForest(1)_S1
weka.MultiBoostAB_CostSensitiveClassifier_RandomForest(1)_I10
weka.MultiBoostAB_CostSensitiveClassifier_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
0.9034
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1756
Cross-validation details (10-fold Crossvalidation)
F measure
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8661
Cross-validation details (10-fold Crossvalidation)
KB relative information score
223765.3059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0004
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
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9996
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1229
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0206
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4952
Cross-validation details (10-fold Crossvalidation)
Total cost
50021
Cross-validation details (10-fold Crossvalidation)