Run
279372

Run 279372

Task 4212 (Supervised Classification) vehicle_sensIT Uploaded 07-03-2015 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

0.8872
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8584
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7176
Cross-validation details (10 times 10-fold Crossvalidation)
587638.8246
Cross-validation details (10 times 10-fold Crossvalidation)
0.2189
Cross-validation details (10 times 10-fold Crossvalidation)
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
985280
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]
0.8636
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8588
Cross-validation details (10 times 10-fold Crossvalidation)
1
Cross-validation details (10 times 10-fold Crossvalidation)
0.8588
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4377
Cross-validation details (10 times 10-fold Crossvalidation)
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
0.341
Cross-validation details (10 times 10-fold Crossvalidation)
0.6821
Cross-validation details (10 times 10-fold Crossvalidation)
939.9176
4259770
Cross-validation details (10 times 10-fold Crossvalidation)
970
Cross-validation details (10 times 10-fold Crossvalidation)
4258800
Cross-validation details (10 times 10-fold Crossvalidation)