The feature independence assumption in Naive Bayes simplifies the classification problem by

The feature independence assumption in Naive Bayes simplifies the classification problem by

  •  ignoring the prior probabilities altogether.
  •  assuming that classes are independent of the input features.
  •  assuming that the prior probabilities of all classes are independent of one another.
  •  allowing the probability of each feature given the class to be estimated individually.

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