In this article, I’ll explain the basic of Naive Bayes algorithm.

What is Naive Bayes algorithm?

Naive Bayes is a statistical classification technique based on Bayes Theorem. NB classifier is the fast, accurate and reliable algorithm. Naive Bayes classifier have high accuracy and speed on large datasets.

Naive Bayes classifier assumes that the effect of a particular features in a class is independent of other features. For example, a loan applicant is desirable or not depending on his/her income, previous loan and transaction history, age and location. Even if these features are interdependent, these features are still considered independent. This assumption simplifies computation, and that’s why it is considered as Naive. This assumption is called conditional independence.

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