DEVELOPMENT... OpenML
Run
25125

Run 25125

Task 98 (Learning Curve) sonar 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
0.8669 ± 0.0735
Per class
Build CPU time
0.0028
Build memory
4336048447.856
F measure
0.7704 ± 0.0999
Per class
Kappa
0.5383 ± 0.1965
KB relative information score
0.526 ± 0.1708
Mean absolute error
0.2368 ± 0.0828
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7725 ± 0.0997
Per class
Predictive accuracy
0.7716 ± 0.0968
Prior entropy
0.9967 ± 0.0043
Recall
0.7716 ± 0.0968
Per class
Relative absolute error
0.4757 ± 0.1664
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.4356 ± 0.0979
Root relative squared error
0.8732 ± 0.1961
SciMark benchmark
1062.2066[679.486053609962943.198739202682524.2879750976574946.70998535219642217.3500618052317]