What are the Pros/Cons of Naive Bayes?
Pros: Computational efficiency
Cons:Independence assumption is not realistic for many data sets
Naive Bayes
How can continuous features be incorporated into Naive Bayes?
Gaussian Naive Bayes accounts for continuous features by calculating the conditional likelihood rather than conditional probability of an observation belonging to each class
What happens if a category has a zero frequency within a class, and how is this issue commonly addressed (Naive Bayes)?
If a feature appears zero times within a particular class, the computed likelihood score for an observation belonging to that class will be zero
How Does Naive Bayes Work?
Naive Bayes uses the framework of Bayes Theorem and the assumption of conditional independence between all pairs of predictors