DEVELOPMENT... OpenML
Run
172692

Run 172692

Task 1714 (Learning Curve) breast-w Uploaded 20-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.MultilayerPerceptronCS(1)Weka implementation of MultilayerPerceptronCS
weka.MultilayerPerceptronCS(1)_L0.3
weka.MultilayerPerceptronCS(1)_M0.2
weka.MultilayerPerceptronCS(1)_N500
weka.MultilayerPerceptronCS(1)_V0
weka.MultilayerPerceptronCS(1)_S0
weka.MultilayerPerceptronCS(1)_E20
weka.MultilayerPerceptronCS(1)_Ha

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
0.9842 ± 0.0098
Per class
F measure
0.95 ± 0.0328
Per class
Kappa
0.8893 ± 0.0725
KB relative information score
0.8779 ± 0.0686
Mean absolute error
0.054 ± 0.0292
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.95 ± 0.0296
Per class
Predictive accuracy
0.9499 ± 0.0325
Prior entropy
0.9293 ± 0.0043
Recall
0.9499 ± 0.0325
Per class
Relative absolute error
0.1194 ± 0.0647
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2076 ± 0.082
Root relative squared error
0.4369 ± 0.1725
SciMark benchmark
1062.8864
UserCPU time millis
1200
UserCPU time millis training
1200