Run
54839

Run 54839

Task 1736 (Learning Curve) diabetes 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
0.717 ± 0.0545
Per class
Build CPU time
0.0086
Build memory
881724415.2
F measure
0.753 ± 0.0476
Per class
Kappa
0.4489 ± 0.1071
KB relative information score
0.4453 ± 0.1032
Mean absolute error
0.2422 ± 0.0452
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7522 ± 0.0473
Per class
Predictive accuracy
0.7578 ± 0.0452
Prior entropy
0.9331 ± 0.0046
Recall
0.7578 ± 0.0452
Per class
Relative absolute error
0.5329 ± 0.0992
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4921 ± 0.0507
Root relative squared error
1.0325 ± 0.1059
SciMark benchmark
1853.1129