DEVELOPMENT... OpenML
Run
177661

Run 177661

Task 4654 (Supervised Classification) teachingAssistant Uploaded 23-02-2015 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
0.6993
Per class
F measure
0.4804
Per class
Kappa
0.2188
KB relative information score
450.0584
Mean absolute error
0.3352
Mean prior absolute error
0.4443
Number of instances
1510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.486
Per class
Predictive accuracy
0.4788
Prior entropy
1.5845
Recall
0.4788
Per class
Relative absolute error
0.7543
Root mean prior squared error
0.4713
Root mean squared error
0.483
Root relative squared error
1.0247
SciMark benchmark
1384.4418