Regularization and Averaging of the Selective Naïve Bayes classifier

@article{Boull2006RegularizationAA,
  title={Regularization and Averaging of the Selective Naïve Bayes classifier},
  author={Marc Boull{\'e}},
  journal={The 2006 IEEE International Joint Conference on Neural Network Proceedings},
  year={2006},
  pages={1680-1688}
}
The Nai've Bayes classifier has proved to be very effective on many real data applications. Its performances usually benefit from an accurate estimation of univariate conditional probabilities and from variable selection. However, although variable selection is a desirable feature, it is prone to overfitting. In this paper, we introduce a new regularization technique to select the most probable subset of variables and propose a new model averaging method. The weighting scheme on the models… CONTINUE READING
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