DEVELOPMENT... OpenML
Run
159001

Run 159001

Task 1728 (Learning Curve) credit-approval 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
0.8826 ± 0.0772
Per class
F measure
0.8582 ± 0.0658
Per class
Kappa
0.7136 ± 0.1343
KB relative information score
0.583 ± 0.1044
Mean absolute error
0.2232 ± 0.0478
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.859 ± 0.0648
Per class
Predictive accuracy
0.858 ± 0.0647
Prior entropy
0.9912 ± 0.0022
Recall
0.858 ± 0.0647
Per class
Relative absolute error
0.4519 ± 0.0973
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.346 ± 0.0729
Root relative squared error
0.6962 ± 0.1475
SciMark benchmark
646.4525
UserCPU time millis
30
UserCPU time millis training
30