DEVELOPMENT... OpenML
Run
176051

Run 176051

Task 1919 (Supervised Classification) sonar 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
0.7401
Per class
F measure
0.7332
Per class
Kappa
0.4641
KB relative information score
947.5249
Mean absolute error
0.2717
Mean prior absolute error
0.4978
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7333
Per class
Predictive accuracy
0.7332
Prior entropy
0.9968
Recall
0.7332
Per class
Relative absolute error
0.5459
Root mean prior squared error
0.4989
Root mean squared error
0.509
Root relative squared error
1.0203
SciMark benchmark
1341.2341
UserCPU time millis
20
UserCPU time millis training
20