DEVELOPMENT... OpenML
Run
47967

Run 47967

Task 1701 (Learning Curve) anneal 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
0.9758 ± 0.012
Per class
Build CPU time
0.0014
Build memory
3114083661.5111
F measure
0.9275 ± 0.0133
Per class
Kappa
0.8235 ± 0.0602
KB relative information score
0.7933 ± 0.0462
Mean absolute error
0.0342 ± 0.0071
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9332 ± 0.0153
Per class
Predictive accuracy
0.9254 ± 0.0283
Prior entropy
1.1915 ± 0.026
Recall
0.9254 ± 0.0283
Per class
Relative absolute error
0.2548 ± 0.0522
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1357 ± 0.0182
Root relative squared error
0.5254 ± 0.0695
SciMark benchmark
1747.5082