DEVELOPMENT... OpenML
Run
158993

Run 158993

Task 1722 (Learning Curve) cmc 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
0.6275 ± 0.0403
Per class
F measure
0.5165 ± 0.0574
Per class
Kappa
0.2519 ± 0.0831
KB relative information score
0.1503 ± 0.0332
Mean absolute error
0.3949 ± 0.0112
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5279 ± 0.0625
Per class
Predictive accuracy
0.5329 ± 0.0516
Prior entropy
1.539 ± 0.0029
Recall
0.5329 ± 0.0516
Per class
Relative absolute error
0.9166 ± 0.0255
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4479 ± 0.0121
Root relative squared error
0.9651 ± 0.0254
SciMark benchmark
642.8724
UserCPU time millis
90
UserCPU time millis training
90