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Classification results of naïve Bayes (the class with maximum posterior probability) are usually fairly accurate.
However, due to the inadequacy of the conditional independence assumption, the actual posterior-probability numerical estimates are not.
Output probabilities are commonly very close to 0 or 1.
Correct estimation ⇒ accurate prediction, but correct probability estimation is NOT necessary for accurate prediction (just need right ordering of probabilities)
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