Computational Methods for Data Analysis

7Naive Bayesian classifier

This chapter covers the following items:

–Algorithm for maximum posteriori hypothesis

–Algorithm for classifying with probability modeling

–Examples and applications

This chapter provides brief information on the Bayesian classifiers that are regarded as statistical classifiers. They are capable of predicting class membership probabilities such as the probability (with a given dataset belonging to a particular class). Bayesian classification is rooted in Bayes’ theorem. The naive Bayesian classifier has also been revealed as a result of the studies that performed the classification of algorithms. In terms of performance, simple Bayesian classifier is known to be equivalent to decision tree and some other neural network ...