Run
2042150

Run 2042150

Task 145685 (Supervised Classification) creditcard Uploaded 16-04-2017 by Wouter Nuijten
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Flow

weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_MultilayerPercep tron(1)Weka implementation of CostSensitiveClassifier
weka.MultilayerPerceptron(8)_L0.3
weka.MultilayerPerceptron(8)_M0.2
weka.MultilayerPerceptron(8)_N500
weka.MultilayerPerceptron(8)_V0
weka.MultilayerPerceptron(8)_S0
weka.MultilayerPerceptron(8)_E20
weka.MultilayerPerceptron(8)_Ha, a
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_MultilayerPerceptron(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_MultilayerPerceptron(1)_S1
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_MultilayerPerceptron(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_AdaBoostM1_MultilayerPerceptron(1)_Fweka.filters.unsupervised.instance.Resample -S 1 -Z 5.0
weka.FilteredClassifier_AdaBoostM1_MultilayerPerceptron(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_MultilayerPerceptron(3)_P100
weka.AdaBoostM1_MultilayerPerceptron(3)_S1
weka.AdaBoostM1_MultilayerPerceptron(3)_I10
weka.AdaBoostM1_MultilayerPerceptron(3)_Wweka.classifiers.functions.MultilayerPerceptron

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
0.9336
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1176
Cross-validation details (10-fold Crossvalidation)
F measure
0.9896
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.144
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-58152063.5928
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0395
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
0.9822
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9822
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
11.4448
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1338
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.221
Cross-validation details (10-fold Crossvalidation)
Total cost
33504
Cross-validation details (10-fold Crossvalidation)