DEVELOPMENT... OpenML
Run
158992

Run 158992

Task 1719 (Learning Curve) mfeat-pixel 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
0.951 ± 0.0112
Per class
F measure
0.8884 ± 0.0173
Per class
Kappa
0.8761 ± 0.0189
KB relative information score
0.8741 ± 0.0187
Mean absolute error
0.0271 ± 0.0037
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8894 ± 0.0169
Per class
Predictive accuracy
0.8885 ± 0.017
Prior entropy
3.3219
Recall
0.8885 ± 0.017
Per class
Relative absolute error
0.1507 ± 0.0203
Root mean prior squared error
0.3
Root mean squared error
0.1439 ± 0.0112
Root relative squared error
0.4797 ± 0.0373
SciMark benchmark
642.8724
UserCPU time millis
4850
UserCPU time millis testing
10
UserCPU time millis training
4840