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Run
176097

Run 176097

Task 2125 (Supervised Classification) eucalyptus 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
0.8078
Per class
F measure
0.5604
Per class
Kappa
0.4549
KB relative information score
122.507
Mean absolute error
0.1828
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5676
Per class
Predictive accuracy
0.5744
Prior entropy
2.2629
Recall
0.5744
Per class
Relative absolute error
0.5832
Root mean prior squared error
0.3959
Root mean squared error
0.3586
Root relative squared error
0.9056
SciMark benchmark
1358.4523
UserCPU time millis
130
UserCPU time millis training
130