DEVELOPMENT... OpenML
Run
52792

Run 52792

Task 2102 (Learning Curve) eucalyptus Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.DTNB(2)Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
weka.DTNB(2)_X1

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.

21 Evaluation measures

Area under ROC curve
0.8851 ± 0.0218
Per class
Build CPU time
0.3136
Build memory
151774576.2
F measure
0.6276 ± 0.0422
Per class
Kappa
0.5204 ± 0.0547
KB relative information score
0.5269 ± 0.0385
Mean absolute error
0.1823 ± 0.0122
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6344 ± 0.0389
Per class
Predictive accuracy
0.625 ± 0.0417
Prior entropy
2.2621 ± 0.0043
Recall
0.625 ± 0.0417
Per class
Relative absolute error
0.5819 ± 0.0393
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3137 ± 0.0124
Root relative squared error
0.7928 ± 0.0314
SciMark benchmark
1615.5755