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This only holds if P(A) > 0; otherwise, it’s nonsensical — predicting certainty in a non-existent A is illogical. Employing conditional probability is key in Naive Bayes. It empowers the algorithm to predict outcomes under specific conditions, vital for applications like spam filtering,