DEVELOPMENT... OpenML
Run
159030

Run 159030

Task 2097 (Learning Curve) satimage 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
0.9571 ± 0.0062
Per class
F measure
0.862 ± 0.0084
Per class
Kappa
0.8337 ± 0.0107
KB relative information score
0.8112 ± 0.0101
Mean absolute error
0.0615 ± 0.0029
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8611 ± 0.008
Per class
Predictive accuracy
0.8656 ± 0.0088
Prior entropy
2.4834 ± 0.0009
Recall
0.8656 ± 0.0088
Per class
Relative absolute error
0.2276 ± 0.0106
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1949 ± 0.0065
Root relative squared error
0.5304 ± 0.0176
SciMark benchmark
646.4525
UserCPU time millis
10740
UserCPU time millis testing
20
UserCPU time millis training
10720