Run
191388

Run 191388

Task 1915 (Supervised Classification) dermatology 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

0.9816
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9694
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9617
Cross-validation details (10 times 10-fold Crossvalidation)
3518.0147
Cross-validation details (10 times 10-fold Crossvalidation)
0.0102
Cross-validation details (10 times 10-fold Crossvalidation)
0.2664
Cross-validation details (10 times 10-fold Crossvalidation)
3660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9695
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9694
Cross-validation details (10 times 10-fold Crossvalidation)
2.4378
Cross-validation details (10 times 10-fold Crossvalidation)
0.9694
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0383
Cross-validation details (10 times 10-fold Crossvalidation)
0.3649
Cross-validation details (10 times 10-fold Crossvalidation)
0.101
Cross-validation details (10 times 10-fold Crossvalidation)
0.2768
Cross-validation details (10 times 10-fold Crossvalidation)
1304.9611
100
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
100
Cross-validation details (10 times 10-fold Crossvalidation)