DEVELOPMENT... OpenML
Run
47964

Run 47964

Task 2102 (Learning Curve) eucalyptus Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.BayesNet_K2(2)Weka implementation of BayesNet
weka.BayesNet_K2(2)_Dtrue
weka.BayesNet_K2(2)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(2)_P1
weka.K2(2)_SBAYES

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
0.848 ± 0.034
Per class
Build CPU time
0.0026
Build memory
580816891.6
F measure
0.5556 ± 0.0652
Per class
Kappa
0.4279 ± 0.0832
KB relative information score
0.4862 ± 0.0622
Mean absolute error
0.1868 ± 0.0192
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.5856 ± 0.0683
Per class
Predictive accuracy
0.5462 ± 0.0652
Prior entropy
2.2621 ± 0.0043
Recall
0.5462 ± 0.0652
Per class
Relative absolute error
0.5964 ± 0.0612
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3712 ± 0.0274
Root relative squared error
0.9381 ± 0.0691
SciMark benchmark
1932.1045