Sorry if this is long... ***Config*** I have spamassassin 2.64 running under Amavisd-new on Postfix set to tag and then relay all mail to another mail server. I have 2500 users and process about 55,000 inbound messages daily (85+% spam). No mail goes out through this box.
***Problem*** Recently I've noticed that my bayes database seems to be working against me - *many* clearly spammy messages are getting bayes_0 hits and having negative points assigned. When I first set this system up I had never even touched linux before, so I just kinda threw it together with whatever FAQ I could find. I know this is wrong now, but I did absolutely no manual bayes training - I let it auto learn everything. You can see that my spam count is way higher than ham (bottom). ***Questions*** Am I better off deleting my database and starting over? Or should I just start doing some manual training to try to correct the database? Lastly, how do I get even spam and ham counts when autolearning and my incoming mail consists of 85% spam? P.S. - If my setup is lame-a$$ and I should do it another way, please tell me (but it seems to be working). ***Magic Numbers*** 0.000 0 2 0 non-token data: bayes db version 0.000 0 592146 0 non-token data: nspam 0.000 0 201142 0 non-token data: nham 0.000 0 221687 0 non-token data: ntokens 0.000 0 1093068678 0 non-token data: oldest atime 0.000 0 1093369880 0 non-token data: newest atime 0.000 0 1093369889 0 non-token data: last journal sync atime 0.000 0 1093328411 0 non-token data: last expiry atime 0.000 0 43200 0 non-token data: last expire atime delta 0.000 0 67895 0 non-token data: last expire reduction count
