DEVELOPMENT... OpenML
Run
487

Run 487

Task 29 (Supervised Classification) credit-approval Uploaded 07-04-2014 by Jason
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Flow

weka.BayesNet_K2(1)Weka implementation of BayesNet
weka.BayesNet_K2(1)_Dtrue
weka.BayesNet_K2(1)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(1)_P1
weka.K2(1)_SBAYES

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9204
Per class
F measure
0.8659
Per class
Kappa
0.7278
KB relative information score
465.8345
Mean absolute error
0.1651
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8677
Per class
Predictive accuracy
0.8667
Prior entropy
0.9913
Recall
0.8667
Per class
Relative absolute error
0.3342
Root mean prior squared error
0.497
Root mean squared error
0.3358
Root relative squared error
0.6757
SciMark benchmark
2017.3294

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