DEVELOPMENT... OpenML
Run
158991

Run 158991

Task 1720 (Learning Curve) car 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
0.9475 ± 0.027
Per class
F measure
0.8742 ± 0.0301
Per class
Kappa
0.7292 ± 0.0594
KB relative information score
0.6618 ± 0.0672
Mean absolute error
0.0821 ± 0.0179
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8839 ± 0.0261
Per class
Predictive accuracy
0.8692 ± 0.0308
Prior entropy
1.2058 ± 0.0093
Recall
0.8692 ± 0.0308
Per class
Relative absolute error
0.3585 ± 0.0782
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.2221 ± 0.0236
Root relative squared error
0.657 ± 0.0694
SciMark benchmark
646.4525
UserCPU time millis
760
UserCPU time millis training
760