DEVELOPMENT... OpenML
Run
176616

Run 176616

Task 3921 (Supervised Classification) jEdit_4.0_4.2 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
0.7894
Per class
F measure
0.7151
Per class
Kappa
0.4298
KB relative information score
98.4926
Mean absolute error
0.3283
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7155
Per class
Predictive accuracy
0.7153
Prior entropy
0.9997
Recall
0.7153
Per class
Relative absolute error
0.6569
Root mean prior squared error
0.4999
Root mean squared error
0.4406
Root relative squared error
0.8815
SciMark benchmark
1358.4523