Run
13312

Run 13312

Task 29 (Supervised Classification) credit-approval Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.1
weka.J48(1)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.858
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7126
Cross-validation details (10-fold Crossvalidation)
KB relative information score
425.0196
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2035
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8581
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.858
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.858
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.412
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3334
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6708
Cross-validation details (10-fold Crossvalidation)