> I have a bayes question I am hoping someone may be able to > answer for me. Since implementing bayes it has been doing a > very good job except for one thing. > > One particular spam email is not getting tagged as spam. My > rules are scoring the email high enough to be tagged as spam, > but it is also hitting the BAYES_00 rule, which is deducting > 4.9 point, thus causing the email to not be tagged as spam. > > I am very new to bayes so some of my terms may be incorrect. > But it would appear that bayes has "learned" something incorrectly. > > I am not sure if something got autolearned as ham, etc. But, > my question is how do I go about finding out exactly what > within bayes is causing this email to be scored as BAYES_00? > And more importantly, how do I "undo" it? >
Bayes tokenizes the e-mail, so it's hard to point at exactly what might make it think it's spam. The best way to combat this is to sa-learn --spam the message when it comes it. That way, if it was autolearned as ham, it's reversed. If tokens appeared in several ham messages, then you might have to repeat this a few times before the scores get reversed enough that it hits bayes_99 intead. Bret
