OpenML
658

Run 658

Task 75 (Learning Curve) mfeat-karhunen Uploaded 07-04-2014 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.

19 Evaluation measures

Area under ROC curve
0.9304 ± 0.0135
Per class
F measure
0.8156 ± 0.029
Per class
Kappa
0.7952 ± 0.0327
KB relative information score
0.7904 ± 0.0298
Mean absolute error
0.0446 ± 0.0057
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8159 ± 0.0271
Per class
Predictive accuracy
0.8157 ± 0.0294
Prior entropy
3.3219
Recall
0.8157 ± 0.0294
Per class
Relative absolute error
0.2477 ± 0.0315
Root mean prior squared error
0.3
Root mean squared error
0.1822 ± 0.0142
Root relative squared error
0.6073 ± 0.0474
SciMark benchmark
720.7922