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DS-200 · Question #65

How can the naivet?of the naive Bayes classifier be advantageous?

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

How the community answered

(35 responses)
  • A
    77% (27)
  • B
    3% (1)
  • C
    6% (2)
  • D
    14% (5)

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