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While naive Bayes often fails to produce a good estimate for the correct class probabilities, [16] this may not be a requirement for many applications. For example, the naive Bayes classifier will make the correct MAP decision rule classification so long as the correct class is predicted as more probable than any other class. This is true ...
Naive Bayes spam filtering is a baseline technique for dealing with spam that can tailor itself to the email needs of individual users and give low false positive spam detection rates that are generally acceptable to users. It is one of the oldest ways of doing spam filtering, with roots in the 1990s.
It can be drastically simplified by assuming that the probability of appearance of a word knowing the nature of the text (spam or not) is independent of the appearance of the other words. This is the naive Bayes assumption and this makes this spam filter a naive Bayes model. For instance, the programmer can assume that:
a Bayes classifier, one that always chooses the class of highest posterior probability in case this posterior distribution is modelled by assuming the observables are independent, it is a naive Bayes classifier
In statistical classification, the Bayes classifier is the classifier having the smallest probability of misclassification of all classifiers using the same set of features. [ 1 ] Definition
Kentucky basketball opened SEC play with a big win at Rupp Arena. Mark Pope's Kentucky Wildcats slowed Florida, handing the Gators their first loss.
John Stamos almost put the mean in green.. The actor, 61, revealed on the Dec. 23 episode of the ‘Tis The Grinch Holiday Podcast that he auditioned to play the Grinch in the 2000 Christmas ...
(Reuters) -Salesforce beat Wall Street estimates for third-quarter revenue on Tuesday and raised the lower end of its annual revenue forecast, helped by robust spending on its enterprise cloud ...