Run
1839061

Run 1839061

Task 125851 (Learning Curve) isolet 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
0.9335 ± 0.0061
Per class
F measure
0.8544 ± 0.0097
Per class
Kappa
0.8487 ± 0.0099
KB relative information score
6646.9384 ± 7.5654
Mean absolute error
0.0115 ± 0.0008
Mean prior absolute error
0.074 ± 0
Number of instances
7797
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.8546 ± 0.0092
Per class
Predictive accuracy
0.8546 ± 0.0095
Prior entropy
4.7004
Recall
0.8546 ± 0.0095
Per class
Relative absolute error
0.1561 ± 0.0104
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1041 ± 0.0037
Root relative squared error
0.5415 ± 0.0191
SciMark benchmark
1218.1759