What is naive bayes classifier?

Question

Could someone tell me what exactly is Naïve Bayes Classifier?  

Answer 1

Naïve Bayes classifier is a family of algorithms that are based on Bayes theorem which classifies each pair of features as independent of each other. This classification technique divides a given dataset into two parts; feature matrix and response vector. 

Naïve Bayes finds its application in many aspects through machine learning such as spam filtering, document classification, etc. There are also various other popular classifiers based on Bayes theorem such as Gaussian Naïve Bayes classifier, Multinomial Naïve Bayes, Bernoulli Naïve Bayes, etc. 

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