You can delete the messages without training on them, but
I'd treat them like any other spam. SpamBayes trains on all the tokens in the
message, not just the sender. It keeps track of how often a given token appears
in ham and spam, so if you train on these messages, it will learn that messages
from these lists are sometimes spam. If you haven't trained on any messages from
these lists (as ham) before, future messages may be seen as spam, but training
on a few more messages should correct that.
One advantage to this approach is that you'll be training
on whatever other spam clues there are in those messages, which should improve
scoring of future messages. Another is that you don't have to try to work out
what to do with each messages: SpamBayes is pretty clever in its simple-minded
way, and second-guessing it seldom seems to work out
well.
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Steven Healey
Sent: Monday, June 19, 2006 10:19 AM
To: '[email protected]'
Subject: [Spambayes] Correct procedure for handling bad mail from legitimatelist?
OK, some mailing lists I subscribe to were apparently hit by a clever spammer over the weekend. The result is that I now have 20-30 mails containing spam, but received from legitimate lists, in my Junk Suspects directory.
What is the correct procedure for handling these? I fear that if I select Delete as Spam, the signature of the legitimate list will be added to the database as a trigger. But if I select Recover from Spam, the spam signatures which caused the messages to be flagged will be deleted from the database which I also don't want.
Can I just Delete those messages?
Thanks.
sPh
_______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
