© Hong Zhou 2020
H. ZhouLearn Data Mining Through Excelhttps://doi.org/10.1007/978-1-4842-5982-5_8

8. Naïve Bayes Classification

Hong Zhou1 
(1)
University of Saint Joseph, West Hartford, CT, USA
 

The data mining methods we have been learning all favor numerical data: linear regression, LDA, k-means clustering, logistic regression, and K-NN. Naïve Bayes favors categorical data, however. Because of its simplicity, naïve Bayes data mining method is much more efficient compared to other data mining methods, while its performance can still match most other data mining methods.

Please download the sample Excel files from https://github.com/hhohho/Learn-Data-Mining-through-Excel for this chapter’s exercises.

General Understanding

Naive Bayes (naïve Bayes) is ...

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