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(d) Bayesian learning: Which of the following statements are true for BOTH decision trees and Naive Bayes classifiers (you ma

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Answer #1

Solution : The correct answer is “Option (b)”.

No features are assumed to be independent

Explanation : The explanation is given as follows :

  • In case of both naive classifier and decision tree, features are assumed as they are not independent of each other.

  • For Naïve Bayes, the features are assumed as they are independent of each other only when the class label is given.

  • For decision tree, the features are assumed as they are not independent of each other even if the class label is given.
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