Macro for Naïve Bayes Classification
نویسنده
چکیده
The supervised classification also known as pattern recognition, discrimination, or supervised learning consists of assigning new cases to one of a set of pre-defined classes given a sample of cases for which the true classes are known. The Naïve Bayes (NB) technique of supervised classification has become increasingly popular in the recent years. Despite its unrealistic assumption that features are independent of each other given class membership, the NB classifier is remarkably successful in practice even when the assumption of independence is violated. This paper presents a SAS macro that does the NB classification and discusses several issues related to its implementation.
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