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07.b Naive Bayesian Classifiers

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Total cards: 3•Content version: v3•Public deck•Updated: 8/1/2026

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#1
Front (Question)

What is Naive Bayes

Back (Answer)

Naïve Bayes is a probabilistic classification method based on Bayes’ theorem (or Bayes’ law) with a few tweaks. Bayes’ theorem gives the relationship between the probabilities of two events and their conditional probabilities. Bayes’ law is named after the English mathematician Thomas Bayes.

#2
Front (Question)

In Naive Bayes what is discretisation of continuous variables

Back (Answer)

Taking a continuous variable and grouping the instances by interval, such as salary bands

#3
Front (Question)

How do you calculate the overall probability of something in Naive Bayes

Back (Answer)

The probability of the the underlying condition (i.e. purchasing = 0.12) multiplied by the conditional probabilities (i.e. night | purchase = 0.32) multiplying each in turn.