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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Sysbase Solution
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30217/1/Effect%20of%20missing%20value%20methods%20on%20Bayesian%20network%20classification%20of%20hepatitis%20data.pdf |