Hi, I've been using spamassassin with exim4 for a few months now and after the first month of building up the baysean rules it began working very well only letting about 1 spam in 50 through.
We have it set up such that we file our false positives and negatives in "Spam" and "Not spam" IMAP folders and each day sa-learn runs across them and processes/deletes them and we run sa-update on a monthly cronjob. This has worked well for a few months but recently it has gone down hill and now lets about 80% of spam through :-( the baysean learning accumulates tokens every day as usual but to no effect. Its learned 6000 spams and 2500 hams with 130K tokens. I'm just wondering what your advice is on the best practices and procedures to have in place to ensure that we can build up good filtering results, and ensure that it remains good over time.
