Run
1839037

Run 1839037

Task 1752 (Learning Curve) vehicle 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
0.8577 ± 0.0321
Per class
F measure
0.7123 ± 0.049
Per class
Kappa
0.6182 ± 0.0622
KB relative information score
568.4253 ± 3.8387
Mean absolute error
0.1459 ± 0.0172
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.7149 ± 0.0445
Per class
Predictive accuracy
0.7139 ± 0.0465
Prior entropy
1.9991
Recall
0.7139 ± 0.0465
Per class
Relative absolute error
0.3892 ± 0.0458
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3274 ± 0.0271
Root relative squared error
0.7563 ± 0.0625
SciMark benchmark
1261.7269