Run
222599

Run 222599

Task 4588 (Supervised Classification) mfeat-karhunen Uploaded 01-03-2015 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

0.9242
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9747
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8581
Cross-validation details (10 times 10-fold Crossvalidation)
15923.4436
Cross-validation details (10 times 10-fold Crossvalidation)
0.0302
Cross-validation details (10 times 10-fold Crossvalidation)
0.1803
Cross-validation details (10 times 10-fold Crossvalidation)
20000
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]
0.9745
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9749
Cross-validation details (10 times 10-fold Crossvalidation)
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
0.9749
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1675
Cross-validation details (10 times 10-fold Crossvalidation)
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
0.1537
Cross-validation details (10 times 10-fold Crossvalidation)
0.5124
Cross-validation details (10 times 10-fold Crossvalidation)
934.6432
740
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
730
Cross-validation details (10 times 10-fold Crossvalidation)