DEVELOPMENT... OpenML
Run
176174

Run 176174

Task 3060 (Supervised Classification) squash-stored 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
0.7472
Per class
F measure
0.6429
Per class
Kappa
0.4138
KB relative information score
7.1349
Mean absolute error
0.2549
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7059
Per class
Predictive accuracy
0.6471
Prior entropy
1.4782
Recall
0.6471
Per class
Relative absolute error
0.6122
Root mean prior squared error
0.4569
Root mean squared error
0.4375
Root relative squared error
0.9574
SciMark benchmark
1351.788

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