DEVELOPMENT... OpenML
Run
25109

Run 25109

Task 82 (Learning Curve) cmc Uploaded 16-08-2014 by Jason
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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
0.6967 ± 0.0267
Per class
Build CPU time
0.0009
Build memory
786847658.232
F measure
0.5072 ± 0.0345
Per class
Kappa
0.2482 ± 0.0508
KB relative information score
0.2396 ± 0.0246
Mean absolute error
0.3608 ± 0.0101
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.5227 ± 0.0359
Per class
Predictive accuracy
0.5019 ± 0.0342
Prior entropy
1.539 ± 0.0028
Recall
0.5019 ± 0.0342
Per class
Relative absolute error
0.8376 ± 0.0236
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4486 ± 0.0116
Root relative squared error
0.9667 ± 0.0252
SciMark benchmark
1144.3103[688.8786570172948996.3572868649401521.7404170182313975.60102889638462538.974093547572]