Re: Bayes in V4 compared to V3
Matija Nalis <[email protected]>
| Newsgroups | gmane.mail.spam.spamassassin.general |
|---|---|
| Message-ID | <[email protected]> |
On Tue, Sep 24, 2024 at 08:10:38AM +0000, Grega via users wrote: > Also this: > > Rule Description Score Total Ham Col6 Spam Col8 > BAYES_40 Bayes spam probability is 20 to 40% 0.00 2,784 2,721 97.7 63 2.3 > BAYES_50 Bayes spam probability is 40 to 60% 0.80 126 93 73.8 33 26.2 > BAYES_60 Bayes spam probability is 60 to 80% 1.50 437 127 29.1 310 70.9 > BAYES_80 Bayes spam probability is 80 to 95% 7.00 266 1 0.4 265 99.6 > > I only have BAYES_40 to BAYES_80 after clearing bayes DB and manually RE-learning on 2500 HAM and 2500 SPAM messages. > So NO BAYES lower than 40 or higher than 80... > > There is 100% something wrong here, bayes in not decision maker at all, for me it is useless. This indecisiveness along with fact that some mails arent even BAYES scored makes me think there is a bug or I implemented it wrong? Perhaps running via "spamassassin -D -t" on a message would show why? I'm suspecting the bayes is poisoned... that might be due to spammer activity (esp. if you have bayes_auto_learn enabled), or due to needless headers being classified, for example. in SA 3.x (not yet on 4.x), I had to bayes_ignore_header lots of stuff to get it to perform resonably, esp. Received headers, or those would often overwhelm other more useful tokens (like body matches) -- Opinions above are GNU-copylefted.