Chapter 5
Naïve Bayes Classification I
M. Fareed Akhtar
Fastonish, Australia
5.1 Introduction
This chapter explains the Naïve Bayes classification algorithm and its operator in Rapid-Miner. The use case of this chapter applies the Naïve Bayes operator on the Credit Approval dataset. The operators explained in this chapter are: Rename by Replacing, Filter Examples, Discretize by Binning, X-Validation, and Performance (Binominal Classification) operator.
The Naïve Bayes algorithm is a simple probabilistic classifier based on applying Bayes’ theorem with strong independence assumptions. In simple words, the Naïve Bayes algorithm assumes that the presence of a particular value of an attribute is unrelated to the presence of any other attribute value. ...
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