Run
1839071

Run 1839071

Task 125874 (Learning Curve) autoUniv-au6-1000 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
0.5117 ± 0.0294
Per class
F measure
0.1563 ± 0.0546
Per class
Kappa
0.0179 ± 0.0621
KB relative information score
94.3381 ± 5.0779
Mean absolute error
0.2105 ± 0.0123
Mean prior absolute error
0.2147 ± 0
Number of instances
1000
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.1543 ± 0.0556
Per class
Predictive accuracy
0.159 ± 0.0549
Prior entropy
2.9228
Recall
0.159 ± 0.0549
Per class
Relative absolute error
0.9804 ± 0.0572
Root mean prior squared error
0.3277 ± 0
Root mean squared error
0.4398 ± 0.0142
Root relative squared error
1.3423 ± 0.0433
SciMark benchmark
1398.5638