From: Ben Johnson <b...@indietorrent.org> Date: Wed, 15 Aug 2012 13:36:08 -0400 Some 99% of the spam that I receive, which is grossly spammy (we're talking auto loans, cash advances, dink pills, the whole lot) contains "BAYES_00=-1.9" in the tests portion of the X-Spam-Status header. Might anyone know why? This is a stock installation (Ubuntu package on 10.04). Most likely you've let autolearn learn a large number of spam messages as ham. Any autolearn mistakes need to be corrected.
One or two spam messages with BAYES_00 is not a problem, but a large number of them indicates a serious problem with learning. If you have the old spam messages then you can retrain correctly. Otherwise it would probably be best to start over by deleting the bayes database. local.cf contains # Bayesian classifier auto-learning (default: 1) # # bayes_auto_learn 1 and I have not overridden the default elsewhere. So, presumably, auto-learning is enabled (if that's event relevant). While I have not trained the Bayesian filter manually to date, how is it that the spammiest of the spam is being classified with BAYES_00 (thereby receiving the score -1.9)? Doesn't BAYES_00 imply that the message is almost certainly not spam? Yes, BAYES_00 says the spam probability is between 0 and 1%. http://forums.eukhost.com/f38/problems-spamassassin-bayes-filter-16948/ Outside of the above forum post, search query results for this issue are scant. There have been numerous posts on BAYES. -jeff
