Which of the following are true of the Naive Bayes algorithm? (select all that a

Question

Which of the following are true of the Naive Bayes algorithm? (select all that apply.)

                Naive Bayes cannot outperform more complicated classifiers

                No holdout or validation set is required with Naive Bayes.

                Naive Bayes works best with a large number of observations.

                Naive Bayes provides accurate estimates of the probability of class membership.

                Naive Bayes works especially well with a large number of predictors.

Naive Bayes assumes the effects of the predictors on the target are independent

Explanation / Answer

The correct options are C,D,E

Naive Bayes works best with a large number of observations.

Naive Bayes provides accurate estimates of the probability of class membership.

Naive Bayes works especially well with a large number of predictors.

Explanation:

Naive Bayes can deal with a large number of variables and large data sets, and it handles both discrete and continuous attribute variables.

Accurate estimation of class membership probability is needed for estimates that can be applied to any classifier  , such as naive Bayes,

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