DEVELOPMENT... OpenML
Run
159019

Run 159019

Task 1757 (Learning Curve) waveform-5000 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
0.8888 ± 0.0125
Per class
F measure
0.7904 ± 0.0229
Per class
Kappa
0.6866 ± 0.0341
KB relative information score
0.644 ± 0.0237
Mean absolute error
0.1865 ± 0.0108
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7909 ± 0.0226
Per class
Predictive accuracy
0.791 ± 0.0228
Prior entropy
1.5849 ± 0
Recall
0.791 ± 0.0228
Per class
Relative absolute error
0.4198 ± 0.0244
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3381 ± 0.0166
Root relative squared error
0.7172 ± 0.0352
SciMark benchmark
646.4525
UserCPU time millis
6210
UserCPU time millis testing
10
UserCPU time millis training
6200