DEVELOPMENT... OpenML
Run
159003

Run 159003

Task 1730 (Learning Curve) credit-g 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
0.6366 ± 0.0439
Per class
F measure
0.707 ± 0.0349
Per class
Kappa
0.2782 ± 0.09
KB relative information score
0.1106 ± 0.0426
Mean absolute error
0.3752 ± 0.0144
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7044 ± 0.0365
Per class
Predictive accuracy
0.724 ± 0.0267
Prior entropy
0.8813
Recall
0.724 ± 0.0267
Per class
Relative absolute error
0.893 ± 0.0342
Root mean prior squared error
0.4583
Root mean squared error
0.4428 ± 0.0144
Root relative squared error
0.9663 ± 0.0313
SciMark benchmark
646.4525
UserCPU time millis
90
UserCPU time millis training
90