Run
199314

Run 199314

Task 4595 (Supervised Classification) ada_prior Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.SPegasos(5)S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
weka.SPegasos(5)_F0
weka.SPegasos(5)_L1.0E-4
weka.SPegasos(5)_E500

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

0.7799
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7797
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4717
Cross-validation details (10 times 10-fold Crossvalidation)
13639.1457
Cross-validation details (10 times 10-fold Crossvalidation)
0.234
Cross-validation details (10 times 10-fold Crossvalidation)
0.3732
Cross-validation details (10 times 10-fold Crossvalidation)
45620
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]
0.8219
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.766
Cross-validation details (10 times 10-fold Crossvalidation)
0.8085
Cross-validation details (10 times 10-fold Crossvalidation)
0.766
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6269
Cross-validation details (10 times 10-fold Crossvalidation)
0.4319
Cross-validation details (10 times 10-fold Crossvalidation)
0.4837
Cross-validation details (10 times 10-fold Crossvalidation)
1.1198
Cross-validation details (10 times 10-fold Crossvalidation)
942.9518
2060
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
2050
Cross-validation details (10 times 10-fold Crossvalidation)