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.
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 whether the probability is slightly, or even grossly inaccurate. This is for example. This is regardless of.