Henrique Fernandes wrote: > Nops, i wnat that after i trained, the same email, should get a higher > score cause the spamassassin was trained that is a spam, so when it > comes again , it should look in the database and add some extra point > on the score right ?
That is a fairly common misconception. When you learn an email as spam, the Bayes system breaks it into tokens (words/character strings) and then makes a note that each of those tokens was seen in a spam. When an email comes in, it breaks up the new email into tokens and then checks to see how frequently each of those tokens was previously seen in spam or ham. Based on what it finds, it ranks the email from BAYES_00 (very unlikely to be spam) to BAYES_99 (almost certainly spam). Since learning from a single email only adds one data point to each token, it is unlikely to make a major difference on its own. The value comes in learning from lots of spam and ham. This is why the Bayes rules will not run until you have learned from at least 200 ham and 200 spam. -- Bowie
