DEVELOPMENT... OpenML
Run
176253

Run 176253

Task 3559 (Supervised Classification) confidence Uploaded 21-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8788
Per class
F measure
0.7674
Per class
Kappa
0.7167
KB relative information score
52.4057
Mean absolute error
0.0867
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7855
Per class
Predictive accuracy
0.7639
Prior entropy
2.585
Recall
0.7639
Per class
Relative absolute error
0.3122
Root mean prior squared error
0.3727
Root mean squared error
0.2731
Root relative squared error
0.7327
SciMark benchmark
1339.4189