Run
198234

Run 198234

Task 1895 (Supervised Classification) breast-w 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

0.9643
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9659
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9246
Cross-validation details (10 times 10-fold Crossvalidation)
6435.4375
Cross-validation details (10 times 10-fold Crossvalidation)
0.0342
Cross-validation details (10 times 10-fold Crossvalidation)
0.452
Cross-validation details (10 times 10-fold Crossvalidation)
6990
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]
0.966
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9658
Cross-validation details (10 times 10-fold Crossvalidation)
0.9297
Cross-validation details (10 times 10-fold Crossvalidation)
0.9658
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0757
Cross-validation details (10 times 10-fold Crossvalidation)
0.4753
Cross-validation details (10 times 10-fold Crossvalidation)
0.1849
Cross-validation details (10 times 10-fold Crossvalidation)
0.389
Cross-validation details (10 times 10-fold Crossvalidation)
916.5955
40
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
40
Cross-validation details (10 times 10-fold Crossvalidation)