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Application of Naive Bayes for Filtering Email Spam | Blogs | Sigma Magic
SOLVED:Suppose that a Bayesian spam filter is trained on a set of 1000 spam messages and 400 messages that are not spam. The word “opportunity” appears in 175 spam messages and 20