Run
54825

Run 54825

Task 1714 (Learning Curve) breast-w 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
0.9639 ± 0.0275
Per class
Build CPU time
0.0075
Build memory
879471743.6
F measure
0.9644 ± 0.0276
Per class
Kappa
0.9214 ± 0.0604
KB relative information score
0.9174 ± 0.0646
Mean absolute error
0.0358 ± 0.028
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9647 ± 0.0262
Per class
Predictive accuracy
0.9642 ± 0.028
Prior entropy
0.9293 ± 0.0043
Recall
0.9642 ± 0.028
Per class
Relative absolute error
0.0791 ± 0.0619
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1891 ± 0.0992
Root relative squared error
0.3979 ± 0.2089
SciMark benchmark
1853.1129