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Run
176064

Run 176064

Task 1937 (Supervised Classification) ionosphere 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
0.9123
Per class
F measure
0.9104
Per class
Kappa
0.8039
KB relative information score
2749.351
Mean absolute error
0.0991
Mean prior absolute error
0.4604
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9108
Per class
Predictive accuracy
0.9111
Prior entropy
0.9425
Recall
0.9111
Per class
Relative absolute error
0.2151
Root mean prior squared error
0.4797
Root mean squared error
0.2893
Root relative squared error
0.6032
SciMark benchmark
1351.788
UserCPU time millis
20
UserCPU time millis training
20