Run
261039

Run 261039

Task 4597 (Supervised Classification) hiva_agnostic Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_S1

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.

22 Evaluation measures

0.6133
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9579
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2994
Cross-validation details (10 times 10-fold Crossvalidation)
2542.5662
Cross-validation details (10 times 10-fold Crossvalidation)
0.057
Cross-validation details (10 times 10-fold Crossvalidation)
0.0682
Cross-validation details (10 times 10-fold Crossvalidation)
42290
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.955
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9638
Cross-validation details (10 times 10-fold Crossvalidation)
0.221
Cross-validation details (10 times 10-fold Crossvalidation)
0.9638
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.836
Cross-validation details (10 times 10-fold Crossvalidation)
0.1844
Cross-validation details (10 times 10-fold Crossvalidation)
0.1786
Cross-validation details (10 times 10-fold Crossvalidation)
0.969
Cross-validation details (10 times 10-fold Crossvalidation)
943.1756
44710
Cross-validation details (10 times 10-fold Crossvalidation)
20
Cross-validation details (10 times 10-fold Crossvalidation)
44690
Cross-validation details (10 times 10-fold Crossvalidation)