Run
198357

Run 198357

Task 3019 (Supervised Classification) Australian 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
0.8507
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8557
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7072
Cross-validation details (10-fold Crossvalidation)
KB relative information score
488.4748
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1435
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8573
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2905
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3788
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7622
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.4732
UserCPU time millis
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)