When would you prefer a Naive Bayes model to a logistic regression model for classification?

A.
When you are using several categorical input variables with over 1000 possible values each.

B.
When you need to estimate the probability of an outcome,not just which class it is in.

C.
When all the input variables are numerical.

D.
When some of the input variables might be correlated.