Run
1839048

Run 1839048

Task 10070 (Learning Curve) musk 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
0.9929 ± 0.0056
Per class
F measure
0.9907 ± 0.0045
Per class
Kappa
0.9644 ± 0.0173
KB relative information score
6267.7377 ± 14.9095
Mean absolute error
0.0116 ± 0.0054
Mean prior absolute error
0.2608 ± 0.0005
Number of instances
6598
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.9907 ± 0.0045
Per class
Predictive accuracy
0.9908 ± 0.0044
Prior entropy
0.6204
Recall
0.9908 ± 0.0044
Per class
Relative absolute error
0.0445 ± 0.0208
Root mean prior squared error
0.3611 ± 0.0007
Root mean squared error
0.093 ± 0.0205
Root relative squared error
0.2575 ± 0.0566
SciMark benchmark
1491.6146