Run
192180

Run 192180

Task 4354 (Supervised Classification) newton_hema Uploaded 26-02-2015 by Joaquin Vanschoren
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Flow

weka.LibLINEAR(1)Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008). LIBLINEAR - A Library for Large Linear Classification. URL http://www.csie.ntu.edu.tw/~cjlin/liblinear/.
weka.LibLINEAR(1)_S1
weka.LibLINEAR(1)_C1.0
weka.LibLINEAR(1)_E0.001
weka.LibLINEAR(1)_B1.0

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

0.6493
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6492
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2986
Cross-validation details (10 times 10-fold Crossvalidation)
418
Cross-validation details (10 times 10-fold Crossvalidation)
0.3507
Cross-validation details (10 times 10-fold Crossvalidation)
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
1400
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]
0.6495
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6493
Cross-validation details (10 times 10-fold Crossvalidation)
1
Cross-validation details (10 times 10-fold Crossvalidation)
0.6493
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7014
Cross-validation details (10 times 10-fold Crossvalidation)
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
0.5922
Cross-validation details (10 times 10-fold Crossvalidation)
1.1844
Cross-validation details (10 times 10-fold Crossvalidation)
938.343
10
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)