DEVELOPMENT... OpenML
Run
176416

Run 176416

Task 3722 (Supervised Classification) hungarian 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
0.8656
Per class
F measure
0.8078
Per class
Kappa
0.58
KB relative information score
137.5103
Mean absolute error
0.2502
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8073
Per class
Predictive accuracy
0.8095
Prior entropy
0.9439
Recall
0.8095
Per class
Relative absolute error
0.5424
Root mean prior squared error
0.4802
Root mean squared error
0.3737
Root relative squared error
0.7782
SciMark benchmark
1392.1129