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Run
176451

Run 176451

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6284
Per class
F measure
0.5702
Per class
Kappa
0.1432
KB relative information score
10.0016
Mean absolute error
0.4311
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.585
Per class
Predictive accuracy
0.589
Prior entropy
0.9937
Recall
0.589
Per class
Relative absolute error
0.87
Root mean prior squared error
0.4977
Root mean squared error
0.5234
Root relative squared error
1.0517
SciMark benchmark
1358.4523