Run
1839052

Run 1839052

Task 10071 (Learning Curve) OVA_Breast 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
0.9216 ± 0.0392
Per class
F measure
0.9428 ± 0.0077
Per class
Kappa
0.8341 ± 0.0215
KB relative information score
1250.0029 ± 3.4169
Mean absolute error
0.058 ± 0.0078
Mean prior absolute error
0.3464 ± 0.0017
Number of instances
1545
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.9426 ± 0.0076
Per class
Predictive accuracy
0.943 ± 0.0078
Prior entropy
0.7656
Recall
0.943 ± 0.0078
Per class
Relative absolute error
0.1674 ± 0.0222
Root mean prior squared error
0.416 ± 0.0021
Root mean squared error
0.2375 ± 0.0162
Root relative squared error
0.5708 ± 0.0381
SciMark benchmark
1068.3612