They even provide an way for the user to decide which folder should be learned as spam or not spam. My proposition : configuring the INBOX folder as ham, plain and simple. One could try to copy 200 hams (from inbox) to the spam folder and then get it back to the inbox but thatвЂ™s counter intuitive, and IвЂ™m not sure it would work anyway (mail marked learned as spam then as ham) I seriously doubt that any end user will accept that 200 hams gets into its spam box without yelling at the sysadmin.

While training for spam is not too difficult (just copy 200 of your own spams into the spam folder through the IMAP server) (just mark 200 spams using the вЂњmark as spamвЂќ function of your mail client, copying a mail into the junk folder is not possible) making the spam filter learn 200 hams looks more difficult, since (following the documentation) the only way to mark a mail as ham is to get it out of the junk folder. To know the status of the bayes database, log yourself as amavis (su - amavis) then do spamassassin -D -lint and look for bayes related entries :Дec 9 14:07:37.639 dbg: bayes: found bayes db version 3Дec 9 14:07:37.640 dbg: bayes: DB journal sync: last sync: 0Дec 9 14:07:37.640 dbg: bayes: not available for scanning, only 4 ham(s) in bayes DB < 200Дec 9 14:07:37.640 dbg: bayes: untie-ing

Here are some notes and questions :ДЇirst of all, it should be written somewhere in the doc that spam assassinвЂ™s Bayes database requires to learn at least 200 spams AND 200 hams before beginning to filter. IвЂ™m currently trying to get the bayesian filter included in nethserverвЂ™s mail server to work.

Spamassassin bayesian