How Does Naive Bayes Work?
Naive Bayes uses the framework of Bayes Theorem and the assumption of conditional independence between all pairs of predictors
Naive Bayes uses the framework of Bayes Theorem and the assumption of conditional independence between all pairs of predictors
Pros: Computational efficiency
Cons:Independence assumption is not realistic for many data sets
Gaussian Naive Bayes accounts for continuous features by calculating the conditional likelihood rather than conditional probability of an observation belonging to each class
If a feature appears zero times within a particular class, the computed likelihood score for an observation belonging to that class will be zero