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Naïve Bayes Posterior Probabilities
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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