DEVELOPMENT... OpenML
Run
158987

Run 158987

Task 1714 (Learning Curve) breast-w Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_S1

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
0.9569 ± 0.0251
Per class
F measure
0.9531 ± 0.0266
Per class
Kappa
0.897 ± 0.0575
KB relative information score
0.8607 ± 0.0592
Mean absolute error
0.0656 ± 0.0253
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9544 ± 0.0241
Per class
Predictive accuracy
0.9528 ± 0.0271
Prior entropy
0.9293 ± 0.0043
Recall
0.9528 ± 0.0271
Per class
Relative absolute error
0.1452 ± 0.056
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.209 ± 0.0672
Root relative squared error
0.4397 ± 0.1414
SciMark benchmark
646.4525
UserCPU time millis
20
UserCPU time millis training
20