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Run
175892

Run 175892

Task 57 (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
0.9128
Per class
F measure
0.9015
Per class
Kappa
0.7835
KB relative information score
266.1821
Mean absolute error
0.1113
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9041
Per class
Predictive accuracy
0.9031
Prior entropy
0.9425
Recall
0.9031
Per class
Relative absolute error
0.2417
Root mean prior squared error
0.4797
Root mean squared error
0.3015
Root relative squared error
0.6286
SciMark benchmark
1466.6185
UserCPU time millis
30
UserCPU time millis training
30