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.
Answer: A
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