Run
54836

Run 54836

Task 1730 (Learning Curve) credit-g Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.SPegasos(2)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(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4

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.

21 Evaluation measures

Area under ROC curve
0.6814 ± 0.0576
Per class
Build CPU time
0.0503
Build memory
1278689704
F measure
0.7414 ± 0.0482
Per class
Kappa
0.375 ± 0.1162
KB relative information score
0.3514 ± 0.1246
Mean absolute error
0.254 ± 0.0488
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7386 ± 0.0505
Per class
Predictive accuracy
0.746 ± 0.0488
Prior entropy
0.8813
Recall
0.746 ± 0.0488
Per class
Relative absolute error
0.6045 ± 0.1162
Root mean prior squared error
0.4583
Root mean squared error
0.504 ± 0.0476
Root relative squared error
1.0998 ± 0.1038
SciMark benchmark
1853.1129