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DS-200 · Question #65
DS-200 Question #65: Real Exam Question with Answer & Explanation
The correct answer is A. It does not require you to make strong assumptions about the data because it is a non-. See the full explanation below for the reasoning.
Question
How can the naivet?of the naive Bayes classifier be advantageous?
Options
- AIt does not require you to make strong assumptions about the data because it is a non-
- BIt significantly reduces the size of the parameter space, thus reducing the risk of over fitting
- CIt allows you to reduce bias with no tradeoff in variance
- DIt guarantees convergence of the estimator
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