|-----Original Message----- |From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf |Of Rosenbaum, Larry M. |Sent: 21 January 2005 18:47 |To: users@spamassassin.apache.org |Subject: Nigerian spams hit BAYES_00 | |Using SpamAssassin 3.0.2 on Solaris 2.6, Perl 5.8.6. | |For some reason, I'm getting BAYES_00 scores on a lot of our |Nigerian scam mail (and sometimes lottery scams). Most other |spam scores at reasonably high Bayes values (like 95, 80, or |at worst 50). Most of the training has been done with |autolearning using the default autolearn parameters, but I |have also manually trained some spam, including lots of |Nigerian spam (probably dozens of them). Here is some data: | |# sa-learn --dump magic |0.000 0 3 0 non-token data: bayes |db version |0.000 0 3560 0 non-token data: nspam |0.000 0 104457 0 non-token data: nham |0.000 0 660517 0 non-token data: ntokens |0.000 0 1106229013 0 non-token data: oldest atime |0.000 0 1106331575 0 non-token data: newest atime |0.000 0 0 0 non-token data: last |journal sync atime |0.000 0 1106284398 0 non-token data: last |expiry atime |0.000 0 55318 0 non-token data: last |expire atime delta |0.000 0 277915 0 non-token data: last |expire reduction count |
Your ratio of ham to spam shows you have a lot more ham than spam trained, are you sure its not been learning spam has ham, so poisening your bayes database. Martin
