---
title: "Why is naive Bayes so ‘naive’ ?"  
description: "Why is naive Bayes so ‘naive’ ?"  
author: "Prakash nidhi Verma"  
published: 2018-06-26  
updated: 2020-09-20  
canonical: https://www.mindstick.com/interview/23445/why-is-naive-bayes-so-naive  
category: "artificial intelligence"  
tags: ["artificial intelligence"]  
reading_time: 1 minute  

---

# Why is naive Bayes so ‘naive’ ?

Naive Bayes is so ‘naive’ because it assumes that all of the features in a data set are equally important and independent. its a real world senerio. In Naive Bayes classifier will converge quicker than thats original models like logistic regression that time you need less training data.

## Answers

### Answer by Prakash nidhi Verma

Naive Bayes is so ‘naive’ because it assumes that all of the features in a data set are equally important and independent. its a real world senerio. In Naive Bayes classifier will converge quicker than thats original models like logistic regression that time you need less training data.


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Original Source: https://www.mindstick.com/interview/23445/why-is-naive-bayes-so-naive

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