Selective Bayesian Classifier: Feature Selection for the ...

Scaling up the Naive Bayesian classifier : Using Decision Trees for Feature Selection Chotirat Ann Ratanamahatana Dimitrios Gunopulos Computer Science Department University of California Riverside, CA 92521 1-909-787-5190 {ratana, ABSTRACT It is known that Na ve Bayesian classifier (NB) works very well on some domains, and poorly on some. The performance of NB suffers in domains that involve correlated features. decision trees, on the other hand, typically perform better than the Na ve Bayesian algorithm on such domains.}

decision trees by using features to try and split the training ... decision trees in a top-down recursive divide-and-conquer manner. The algorithm starts with the entire set of tuples in the ... to class Ck and is estimated by sk / s. Let attribute A have v distinct values, ...

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  Feature, Class, Classifier

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