Explain Navie Bayes?

RAJNISH SINGH
RAJNISH SINGH

Posted On: Apr 01, 2020

 

Naive Bayes is a type of classification algorithm used to classify data based on the probabilistic classifiers. It is a collection of classification algorithms that uses Baye’s theorem. This theorem finds the probability of an event occurring given the probability of an already occurred other event.

//Baye’s Theorem mathematical equation
P(A/B) = P(B/A) * P(A) / P(B)

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