Run
1839055

Run 1839055

Task 10076 (Learning Curve) OVA_Omentum 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
0.6582 ± 0.1444
Per class
F measure
0.9405 ± 0.014
Per class
Kappa
0.3664 ± 0.1568
KB relative information score
142.5816 ± 36.6194
Mean absolute error
0.0595 ± 0.015
Mean prior absolute error
0.0952 ± 0.0028
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
0.94 ± 0.0142
Per class
Predictive accuracy
0.9411 ± 0.015
Prior entropy
0.2882
Recall
0.9411 ± 0.015
Per class
Relative absolute error
0.6248 ± 0.1591
Root mean prior squared error
0.2176 ± 0.0065
Root mean squared error
0.242 ± 0.0296
Root relative squared error
1.1122 ± 0.1434
SciMark benchmark
1019.7856