SpamBayes will attempt to classify incoming email messages as 'spam', 'ham'
(good, non-spam email) or 'unsure'. This means you can have spam or unsure
messages automatically filed away in a different mail folder, where it won't
interrupt your email reading. First SpamBayes must be trained by each user to
identify spam and ham. Essentially, you show SpamBayes a pile of email that
you like (ham) and a pile you don't like (spam). SpamBayes will then analyze
the piles for clues as to what makes the spam and ham different. For example;
different words, differences in the mailer headers and content style. The
system then uses these clues to examine new messages.