DEVELOPMENT... OpenML
Run
779

Run 779

Task 63 (Learning Curve) kr-vs-kp Uploaded 08-04-2014 by Mandy
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Flow

weka.JRip(1)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9954 ± 0.004
Per class
F measure
0.9913 ± 0.0054
Per class
Kappa
0.9826 ± 0.0108
KB relative information score
0.9758 ± 0.0102
Mean absolute error
0.0133 ± 0.005
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9913 ± 0.0053
Per class
Predictive accuracy
0.9913 ± 0.0054
Prior entropy
0.9986 ± 0.0002
Recall
0.9913 ± 0.0054
Per class
Relative absolute error
0.0266 ± 0.0101
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0903 ± 0.0308
Root relative squared error
0.1808 ± 0.0616
SciMark benchmark
880.3448