Run
2040494

Run 2040494

Task 145685 (Supervised Classification) creditcard Uploaded 11-04-2017 by Derek Lagrouw
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Flow

weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_CostSensitive Classifier_SMO_PolyKernel(1)Weka implementation of FilteredClassifier
weka.SMO_PolyKernel(15)_C1.0
weka.SMO_PolyKernel(15)_N0
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_V-1
weka.SMO_PolyKernel(15)_W1
weka.SMO_PolyKernel(15)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(15)_calibratortrue
weka.PolyKernel(11)_E2.0
weka.PolyKernel(11)_C250007
weka.CostSensitiveClassifier_SMO_PolyKernel(2)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_SMO_PolyKernel(2)_S1
weka.CostSensitiveClassifier_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.Normalize -S 1.0 -T 0.0
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.InterquartileRange -R first-last -O 3.0 -E 6.0
weka.FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel(1)_Fweka.filters.supervised.instance.Resample -B 0.0 -S 1 -Z 10.0
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel(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
0.9001
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1737
Cross-validation details (10-fold Crossvalidation)
F measure
0.9941
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2339
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1001640.3342
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.009
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
0.991
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.6188
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0951
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.2897
Cross-validation details (10-fold Crossvalidation)
Total cost
49481
Cross-validation details (10-fold Crossvalidation)