Dell-EMC
E20-007 · Question #115
When would you prefer a Naive Bayes model to a logistic regression model for classification?
The correct answer is A. When you are using several categorical input variables with over 1000 possible values each. See the full explanation below for the reasoning.
Question
When would you prefer a Naive Bayes model to a logistic regression model for classification?
Options
- AWhen you are using several categorical input variables with over 1000 possible values each.
- BWhen you need to estimate the probability of an outcome,not just which class it is in.
- CWhen all the input variables are numerical.
- DWhen some of the input variables might be correlated.
How the community answered
(22 responses)- A77% (17)
- B14% (3)
- C9% (2)
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