DEVELOPMENT... OpenML
Run
51234

Run 51234

Task 68 (Learning Curve) autos Uploaded 06-11-2014 by Jason
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  • curves 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
0.8894 ± 0.0548
Per class
Build CPU time
0.0015
Build memory
5307993728.704
F measure
0.6596 ± 0.0982
Per class
Kappa
0.5671 ± 0.1241
KB relative information score
0.6249 ± 0.1057
Mean absolute error
0.0984 ± 0.0251
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6677 ± 0.104
Per class
Predictive accuracy
0.6624 ± 0.0973
Prior entropy
2.2802 ± 0.0732
Recall
0.6624 ± 0.0973
Per class
Relative absolute error
0.4455 ± 0.1141
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.2798 ± 0.0433
Root relative squared error
0.8435 ± 0.1312
SciMark benchmark
1680.7345