Run
198151

Run 198151

Task 285 (Supervised Classification) vote 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

Area under ROC curve
0.9886
Per class
Cross-validation details (33% Holdout set)
F measure
0.9861
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9707
Cross-validation details (33% Holdout set)
KB relative information score
138.4782
Cross-validation details (33% Holdout set)
Mean absolute error
0.014
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4739
Cross-validation details (33% Holdout set)
Number of instances
143
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9865
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.986
Cross-validation details (33% Holdout set)
Prior entropy
0.9627
Cross-validation details (33% Holdout set)
Recall
0.986
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0295
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4865
Cross-validation details (33% Holdout set)
Root mean squared error
0.1183
Cross-validation details (33% Holdout set)
Root relative squared error
0.2431
Cross-validation details (33% Holdout set)
SciMark benchmark
916.5955
UserCPU time millis
40
Cross-validation details (33% Holdout set)
UserCPU time millis training
40
Cross-validation details (33% Holdout set)