DEVELOPMENT... OpenML
Run
47961

Run 47961

Task 2097 (Learning Curve) satimage Uploaded 05-11-2014 by Jason
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  • curves 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
0.9342 ± 0.0088
Per class
Build CPU time
0.023
Build memory
3512741240.9714
F measure
0.8276 ± 0.0144
Per class
Kappa
0.7804 ± 0.0176
KB relative information score
0.7972 ± 0.0153
Mean absolute error
0.0598 ± 0.0048
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8419 ± 0.0138
Per class
Predictive accuracy
0.8205 ± 0.0146
Prior entropy
2.4834 ± 0.0009
Recall
0.8205 ± 0.0146
Per class
Relative absolute error
0.2214 ± 0.0176
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2394 ± 0.01
Root relative squared error
0.6513 ± 0.0273
SciMark benchmark
1655.4655