Run
1839040

Run 1839040

Task 2098 (Learning Curve) abalone 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.

17 Evaluation measures

Area under ROC curve
0.5834 ± 0.0134
Per class
Kappa
0.1073 ± 0.0177
KB relative information score
748.885 ± 6.9746
Mean absolute error
0.0559 ± 0.0007
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Predictive accuracy
0.204 ± 0.0158
Prior entropy
3.6268
Recall
0.204 ± 0.0158
Per class
Relative absolute error
0.904 ± 0.0121
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.2122 ± 0.0025
Root relative squared error
1.2076 ± 0.0142
SciMark benchmark
1144.7836