New Selective Naive Bayes Algorithm

Wang Guo-jun · Science Technology and Engineering · 2009

There is a defect in Naive Bayes algorithms.In those algorithms,the features added to search space have no relation to the order of those features.Thus the traditional Naive Bayes algorithms have not optimal performance when correlated features are added.A new selective Naive Bayes algorithm is proposed.In algorithm,features are ordered by information gain.Then features are selected.And thus the proposed algorithm improves accuracy of classification.

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