Run
198381

Run 198381

Task 3057 (Supervised Classification) SPECTF 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
0.8239
Per class
Cross-validation details (33% Holdout set)
F measure
0.8528
Per class
Cross-validation details (33% Holdout set)
Kappa
0.642
Cross-validation details (33% Holdout set)
KB relative information score
70.7534
Cross-validation details (33% Holdout set)
Mean absolute error
0.1478
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4035
Cross-validation details (33% Holdout set)
Number of instances
115
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8536
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8522
Cross-validation details (33% Holdout set)
Prior entropy
0.8464
Cross-validation details (33% Holdout set)
Recall
0.8522
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3664
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4525
Cross-validation details (33% Holdout set)
Root mean squared error
0.3845
Cross-validation details (33% Holdout set)
Root relative squared error
0.8496
Cross-validation details (33% Holdout set)
SciMark benchmark
1318.1432
UserCPU time millis
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)