Run
242767

Run 242767

Task 4203 (Supervised Classification) pasture Uploaded 02-03-2015 by Jan van Rijn
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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)_E0.01
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

0.6438
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5197
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2875
Cross-validation details (10 times 10-fold Crossvalidation)
125.889
Cross-validation details (10 times 10-fold Crossvalidation)
0.3167
Cross-validation details (10 times 10-fold Crossvalidation)
0.4444
Cross-validation details (10 times 10-fold Crossvalidation)
360
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.5156
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.525
Cross-validation details (10 times 10-fold Crossvalidation)
1.585
Cross-validation details (10 times 10-fold Crossvalidation)
0.525
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7125
Cross-validation details (10 times 10-fold Crossvalidation)
0.4714
Cross-validation details (10 times 10-fold Crossvalidation)
0.5627
Cross-validation details (10 times 10-fold Crossvalidation)
1.1937
Cross-validation details (10 times 10-fold Crossvalidation)
1358.4523
10
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)