Beginner · Fundamentals

Naive Bayes classifier

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A simple probabilistic classifier based on Bayes' theorem with a strong assumption of feature independence.

Technical Definition

A simple probabilistic classifier based on Bayes' theorem with a strong assumption of feature independence.

How it works

The naive Bayes classifier is a simple yet powerful machine learning algorithm for classification tasks. It applies Bayes' theorem with a 'naive' assumption that all features in the dataset are independent of each other. Despite this simplification, it often performs surprisingly well in practice, especially for text classification tasks.