SpamBayes will attempt to classify incoming e-mail messages as 'spam,' 'ham' (good, non-spam e-mail) or 'unsure.' Spam or unsure messages are automatically filed away in a different mail folder, where it won't interrupt your e-mail reading. First, SpamBayes must be trained by each user to identify spam and ham. Essentially, you show SpamBayes a pile of e-mail 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.