DEVELOPMENT... OpenML
Run
176015

Run 176015

Task 1884 (Supervised Classification) labor 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
0.7347
Per class
F measure
0.7807
Per class
Kappa
0.511
KB relative information score
218.924
Mean absolute error
0.2877
Mean prior absolute error
0.457
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7817
Per class
Predictive accuracy
0.786
Prior entropy
0.9393
Recall
0.786
Per class
Relative absolute error
0.6295
Root mean prior squared error
0.4773
Root mean squared error
0.4283
Root relative squared error
0.8974
SciMark benchmark
1384.4418