Naive Bayes' Theorem assumes that the events that the predictor variables take on the values x₁, x₂, …, x_k are highly correlated for observations that fall into the particular category and statistically independent for observations that do not fall into the particular category.

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Naive Bayes' Theorem assumes that the events that the predictor variables take on the values x₁, x₂, …, x_k are statistically independent for observations that fall into the particular category and statistically independent for observations that do not fall into the particular category.

Naive Bayes' Theorem Assumes That the Events That the Predictor