Naive Bayes

Simple & Powerful

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A probabilistic classifier based on Bayes' theorem. Assumes features are independent.

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Bayes' Theorem

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Features are independent. Simplifies calculations, hence "naive."

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Gaussian (continuous data), Multinomial (text), Bernoulli (binary)

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Spam filtering, text classification, medical diagnosis, and more!

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Easy to implement, fast, works well with high-dimensional data.

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Naive Bayes

How It Works and Why It’s Useful

Simple & Powerful

Naive Bayes

A probabilistic classifier based on Bayes' theorem. Assumes features are independent.

What is it?

Bayes' Theorem

Features are independent. Simplifies calculations, hence "naive."

Naive Assumption

Gaussian (continuous data), Multinomial (text), Bernoulli (binary)

Types

Spam filtering, text classification, medical diagnosis, and more!

Applications

Easy to implement, fast, works well with high-dimensional data.

Why Use It?