07.b Naive Bayesian Classifiers Flashcards
1
Q
What is Naive Bayes
A
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
Q
In Naive Bayes what is discretisation of continuous variables
A
Taking a continuous variable and grouping the instances by interval, such as salary bands
3
Q
How do you calculate the overall probability of something in Naive Bayes
A
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.
