Effect of missing value methods on Bayesian network classification of hepatitis data

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Effect of missing value methods on Bayesian network classification of hepatitis data

Missing value imputation methods are widely used in solving missing value problems during statistical analysis. For classification tasks, these imputation methods can affect the accuracy of the Bayesian network classifiers. This paper study’s the effect of missing value treatment on the prediction...

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Bibliographic Details
Main Authors:	Nazziwa Aisha, Adam, Mohd. Bakri, Shohaimi, Shamarina
Format:	Article
Language:	English English
Published:	Sysbase Solution 2013
Online Access:	http://psasir.upm.edu.my/id/eprint/30217/ http://psasir.upm.edu.my/id/eprint/30217/1/Effect%20of%20missing%20value%20methods%20on%20Bayesian%20network%20classification%20of%20hepatitis%20data.pdf

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