Run
2083494

Run 2083494

Task 145685 (Supervised Classification) creditcard Uploaded 22-04-2017 by Frank Ritchi
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Flow

weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)Weka implementation of RandomizableFilteredClassifier
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)_S212
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)_Wweka.classifiers.meta.Vote
weka.Vote_RandomizableFilteredClassifier(1)_RAVG
weka.Vote_RandomizableFilteredClassifier(1)_S166
weka.Vote_RandomizableFilteredClassifier(1)_Bweka.classifiers.meta.RandomizableFilteredClassifier -S 144 -F "weka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1" -W weka.classifiers.trees.RandomTree -- -K 0 -M 1.0 -V 0.001 -S 123

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
0.8076
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.3324
Cross-validation details (10-fold Crossvalidation)
F measure
0.9987
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6267
Cross-validation details (10-fold Crossvalidation)
KB relative information score
104526.3099
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0013
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
0.9987
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9987
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9987
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3661
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0356
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8561
Cross-validation details (10-fold Crossvalidation)
Total cost
94671
Cross-validation details (10-fold Crossvalidation)