DEVELOPMENT... OpenML
Run
47985

Run 47985

Task 1730 (Learning Curve) credit-g Uploaded 05-11-2014 by Jason
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  • 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
0.7746 ± 0.0364
Per class
Build CPU time
0.0015
Build memory
2414518524.0889
F measure
0.7345 ± 0.0309
Per class
Kappa
0.3557 ± 0.0734
KB relative information score
0.2364 ± 0.0521
Mean absolute error
0.3116 ± 0.0168
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7313 ± 0.0308
Per class
Predictive accuracy
0.741 ± 0.0318
Prior entropy
0.8813
Recall
0.741 ± 0.0318
Per class
Relative absolute error
0.7416 ± 0.0401
Root mean prior squared error
0.4583
Root mean squared error
0.4216 ± 0.0209
Root relative squared error
0.9201 ± 0.0456
SciMark benchmark
1445.6628