Run
1839029

Run 1839029

Task 1719 (Learning Curve) mfeat-pixel 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
0.9213 ± 0.0143
Per class
F measure
0.8348 ± 0.0261
Per class
Kappa
0.8161 ± 0.0287
KB relative information score
1644.0389 ± 5.9118
Mean absolute error
0.0375 ± 0.0061
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.8357 ± 0.025
Per class
Predictive accuracy
0.8345 ± 0.0259
Prior entropy
3.3219
Recall
0.8345 ± 0.0259
Per class
Relative absolute error
0.2081 ± 0.034
Root mean prior squared error
0.3
Root mean squared error
0.1709 ± 0.014
Root relative squared error
0.5696 ± 0.0467
SciMark benchmark
1051.2568