For example, the naive Bayes classifier will make the correct MAP decision rule classification so long as the correct class is more probable than any other class, regardless of whether the probability is slightly, or even grossly inaccurate.
For example, the naive Bayes classifier will make the correct MAP decision rule classification so long as the correct class is more probable than any other class. This is true regardless of whether the probability estimate is slightly, or even grossly inaccurate.