Run
54841

Run 54841

Task 1742 (Learning Curve) spambase 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
0.9046 ± 0.014
Per class
Build CPU time
0.1693
Build memory
1078408195.3143
F measure
0.9138 ± 0.0124
Per class
Kappa
0.8186 ± 0.0262
KB relative information score
0.8171 ± 0.026
Mean absolute error
0.0856 ± 0.0122
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9146 ± 0.0124
Per class
Predictive accuracy
0.9144 ± 0.0122
Prior entropy
0.9674 ± 0.0006
Recall
0.9144 ± 0.0122
Per class
Relative absolute error
0.1793 ± 0.0255
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2926 ± 0.0207
Root relative squared error
0.5989 ± 0.0424
SciMark benchmark
1853.1129