DEVELOPMENT... OpenML
Run
25115

Run 25115

Task 88 (Learning Curve) credit-approval 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
0.9192 ± 0.0335
Per class
Build CPU time
0.001
Build memory
4422745812.34
F measure
0.8609 ± 0.0397
Per class
Kappa
0.7176 ± 0.0806
KB relative information score
0.6766 ± 0.0691
Mean absolute error
0.1639 ± 0.0333
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8628 ± 0.0386
Per class
Predictive accuracy
0.8617 ± 0.0389
Prior entropy
0.9912 ± 0.0021
Recall
0.8617 ± 0.0389
Per class
Relative absolute error
0.3319 ± 0.0675
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.335 ± 0.0465
Root relative squared error
0.674 ± 0.0935
SciMark benchmark
1140.1397[699.094410151467993.5317943513462538.4863502523627971.26338765843372498.3225350953912]