Run
1839051

Run 1839051

Task 10075 (Learning Curve) OVA_Lung 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
0.9066 ± 0.0585
Per class
F measure
0.9688 ± 0.0118
Per class
Kappa
0.7911 ± 0.0836
KB relative information score
1096.1614 ± 17.1542
Mean absolute error
0.0319 ± 0.0117
Mean prior absolute error
0.1503 ± 0.0027
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
0.9687 ± 0.012
Per class
Predictive accuracy
0.9689 ± 0.0113
Prior entropy
0.4095
Recall
0.9689 ± 0.0113
Per class
Relative absolute error
0.2122 ± 0.0776
Root mean prior squared error
0.2737 ± 0.005
Root mean squared error
0.1756 ± 0.0297
Root relative squared error
0.6417 ± 0.1102
SciMark benchmark
1520.6125