Run
1895

Run 1895

Task 66 (Learning Curve) audiology Uploaded 23-04-2014 by Jan van Rijn
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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.

17 Evaluation measures

Area under ROC curve
0.9082 ± 0.0417
Per class
Kappa
0.6888 ± 0.105
KB relative information score
0.6428 ± 0.0989
Mean absolute error
0.0289 ± 0.0065
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.7367 ± 0.089
Prior entropy
3.4373 ± 0.1528
Recall
0.7367 ± 0.089
Per class
Relative absolute error
0.3987 ± 0.0878
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1346 ± 0.0212
Root relative squared error
0.7109 ± 0.1099
SciMark benchmark
837.5693