DEVELOPMENT... OpenML
Run
25107

Run 25107

Task 80 (Learning Curve) car 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
0.9744 ± 0.0086
Per class
Build CPU time
0.0005
Build memory
879286305.0836
F measure
0.8503 ± 0.027
Per class
Kappa
0.6744 ± 0.0612
KB relative information score
0.5904 ± 0.0239
Mean absolute error
0.1116 ± 0.0055
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8543 ± 0.0297
Per class
Predictive accuracy
0.8579 ± 0.0253
Prior entropy
1.2058 ± 0.0089
Recall
0.8579 ± 0.0253
Per class
Relative absolute error
0.4874 ± 0.024
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.2259 ± 0.0068
Root relative squared error
0.6681 ± 0.0199
SciMark benchmark
1132.6129[686.7089236991601986.6641361345013535.5320512285389938.57501471955162515.5842117628467]