In response to the various problems that spam on the Internet brings to users, this paper proposes an email filtering system based on the Bayesian minimum risk classification method. By setting a loss cost function, this method ensures that legitimate emails are retained while filtering most spam emails, avoiding the loss to users when useful emails are misclassified as spam. Experimental results show that the spam filtering system proposed in this paper is effective.
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