DEVELOPMENT... OpenML
Run
15928

Run 15928

Task 29 (Supervised Classification) credit-approval Uploaded 04-06-2014 by Felicia West
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Flow

weka.NBTree(1)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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.

17 Evaluation measures

Area under ROC curve
0.9138
Per class
F measure
0.8475
Per class
Kappa
0.6908
KB relative information score
454.2124
Mean absolute error
0.1718
Mean prior absolute error
0.494
Number of instances
690
Per class
Precision
0.8476
Per class
Predictive accuracy
0.8478
Prior entropy
0.9913
Recall
0.8478
Per class
Relative absolute error
0.3478
Root mean prior squared error
0.497
Root mean squared error
0.3513
Root relative squared error
0.7068