Run
1839023

Run 1839023

Task 1710 (Learning Curve) balance-scale 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
0.8868 ± 0.0238
Per class
F measure
0.8074 ± 0.0246
Per class
Kappa
0.6697 ± 0.0383
KB relative information score
383.386 ± 2.3909
Mean absolute error
0.1364 ± 0.0124
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.8011 ± 0.0295
Per class
Predictive accuracy
0.8144 ± 0.0212
Prior entropy
1.3212
Recall
0.8144 ± 0.0212
Per class
Relative absolute error
0.3592 ± 0.0324
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3218 ± 0.0218
Root relative squared error
0.7388 ± 0.0499
SciMark benchmark
1065.5753