DEVELOPMENT... OpenML
Run
176058

Run 176058

Task 1931 (Supervised Classification) trains 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
0.8
Per class
F measure
0.899
Per class
Kappa
0.8
KB relative information score
63.9036
Mean absolute error
0.2
Mean prior absolute error
0.5
Number of instances
100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9167
Per class
Predictive accuracy
0.9
Prior entropy
1
Recall
0.9
Per class
Relative absolute error
0.4
Root mean prior squared error
0.5
Root mean squared error
0.3464
Root relative squared error
0.6928
SciMark benchmark
1358.4523