DEVELOPMENT... OpenML
Run
47999

Run 47999

Task 1752 (Learning Curve) vehicle 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
0.8394 ± 0.0191
Per class
Build CPU time
0.0016
Build memory
458244109.6889
F measure
0.5896 ± 0.0391
Per class
Kappa
0.478 ± 0.0467
KB relative information score
0.5364 ± 0.025
Mean absolute error
0.1999 ± 0.0094
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6012 ± 0.0436
Per class
Predictive accuracy
0.6076 ± 0.0355
Prior entropy
1.9991 ± 0.0005
Recall
0.6076 ± 0.0355
Per class
Relative absolute error
0.5334 ± 0.025
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.392 ± 0.0154
Root relative squared error
0.9056 ± 0.0357
SciMark benchmark
1416.9083

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