Run
199363

Run 199363

Task 4596 (Supervised Classification) gina_agnostic Uploaded 27-02-2015 by Jan van Rijn
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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

0.7542
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7543
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5093
Cross-validation details (10 times 10-fold Crossvalidation)
17689.1443
Cross-validation details (10 times 10-fold Crossvalidation)
0.2449
Cross-validation details (10 times 10-fold Crossvalidation)
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
34680
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.7574
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7551
Cross-validation details (10 times 10-fold Crossvalidation)
0.9998
Cross-validation details (10 times 10-fold Crossvalidation)
0.7551
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4899
Cross-validation details (10 times 10-fold Crossvalidation)
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
0.4948
Cross-validation details (10 times 10-fold Crossvalidation)
0.9898
Cross-validation details (10 times 10-fold Crossvalidation)
1384.4418
11690
Cross-validation details (10 times 10-fold Crossvalidation)
70
Cross-validation details (10 times 10-fold Crossvalidation)
11620
Cross-validation details (10 times 10-fold Crossvalidation)