Run
198367

Run 198367

Task 1904 (Supervised Classification) mushroom 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

0.9998
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9998
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9996
Cross-validation details (10 times 10-fold Crossvalidation)
81209.9067
Cross-validation details (10 times 10-fold Crossvalidation)
0.0002
Cross-validation details (10 times 10-fold Crossvalidation)
0.4994
Cross-validation details (10 times 10-fold Crossvalidation)
81240
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]
0.9998
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9998
Cross-validation details (10 times 10-fold Crossvalidation)
0.9991
Cross-validation details (10 times 10-fold Crossvalidation)
0.9998
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0004
Cross-validation details (10 times 10-fold Crossvalidation)
0.4997
Cross-validation details (10 times 10-fold Crossvalidation)
0.0136
Cross-validation details (10 times 10-fold Crossvalidation)
0.0272
Cross-validation details (10 times 10-fold Crossvalidation)
930.5999
3990
Cross-validation details (10 times 10-fold Crossvalidation)
30
Cross-validation details (10 times 10-fold Crossvalidation)
3960
Cross-validation details (10 times 10-fold Crossvalidation)