Run
1839064

Run 1839064

Task 125857 (Learning Curve) oh15.wc Uploaded 09-11-2016 by Jan van Rijn
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Flow

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.867 ± 0.0213
Per class
F measure
0.7574 ± 0.0411
Per class
Kappa
0.7259 ± 0.0463
KB relative information score
674.5356 ± 4.1069
Mean absolute error
0.0513 ± 0.008
Mean prior absolute error
0.1768 ± 0.0002
Number of instances
913
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.7586 ± 0.0404
Per class
Predictive accuracy
0.7579 ± 0.0408
Prior entropy
3.2121
Recall
0.7579 ± 0.0408
Per class
Relative absolute error
0.2902 ± 0.0455
Root mean prior squared error
0.2973 ± 0.0003
Root mean squared error
0.2125 ± 0.0184
Root relative squared error
0.715 ± 0.0622
SciMark benchmark
1442.9725