Run
339484

Run 339484

Task 1799 (Supervised Classification) dermatology Uploaded 27-03-2015 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)_E0.01
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

0.9799
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9663
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9576
Cross-validation details (5 times 2-fold Crossvalidation)
1752.2138
Cross-validation details (5 times 2-fold Crossvalidation)
0.0113
Cross-validation details (5 times 2-fold Crossvalidation)
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9665
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9661
Cross-validation details (5 times 2-fold Crossvalidation)
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
0.9661
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0424
Cross-validation details (5 times 2-fold Crossvalidation)
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
0.1063
Cross-validation details (5 times 2-fold Crossvalidation)
0.2913
Cross-validation details (5 times 2-fold Crossvalidation)
1331.0047
90
Cross-validation details (5 times 2-fold Crossvalidation)
Cross-validation details (5 times 2-fold Crossvalidation)
90
Cross-validation details (5 times 2-fold Crossvalidation)