DEVELOPMENT... OpenML
Run
176596

Run 176596

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.6988
Per class
F measure
0.6513
Per class
Kappa
0.299
KB relative information score
75.5831
Mean absolute error
0.3995
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6544
Per class
Predictive accuracy
0.6504
Prior entropy
0.992
Recall
0.6504
Per class
Relative absolute error
0.808
Root mean prior squared error
0.4972
Root mean squared error
0.4782
Root relative squared error
0.9618
SciMark benchmark
1358.4523