Run
199076

Run 199076

Task 4375 (Supervised Classification) fri_c4_500_50 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

0.5448
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5459
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0905
Cross-validation details (10 times 10-fold Crossvalidation)
485.6731
Cross-validation details (10 times 10-fold Crossvalidation)
0.4494
Cross-validation details (10 times 10-fold Crossvalidation)
0.4984
Cross-validation details (10 times 10-fold Crossvalidation)
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.5478
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5506
Cross-validation details (10 times 10-fold Crossvalidation)
0.9978
Cross-validation details (10 times 10-fold Crossvalidation)
0.5506
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9016
Cross-validation details (10 times 10-fold Crossvalidation)
0.4992
Cross-validation details (10 times 10-fold Crossvalidation)
0.6704
Cross-validation details (10 times 10-fold Crossvalidation)
1.3429
Cross-validation details (10 times 10-fold Crossvalidation)
1404.1865
90
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
80
Cross-validation details (10 times 10-fold Crossvalidation)