On Thu, 2003-09-04 at 13:47, Matt Kettler wrote: > At 10:59 AM 9/4/2003 -0500, Thomas Cameron wrote: > >All - > > > >I have a client with a Red hat 9 + SA 2.55 + spamass-milter server in > >front of a Lotus Notes server. The client has hired a Notes developer > >to give their users an extra button in Notes to forward false negatives > >to a spam account the Linux server so I can run sa-learn --spam on the > >messages. The thing is, the messages get sent as base64 encoded > >attachments (see example below). > > > >Can sa-learn use this format to learn from? > > Well, bayes can learn from base 64 messages, but you absolutely should not > use forwarded messages for bayes training. > > The problem is that the bayes engine winds up learning "anything that looks > like it was forwarded via lotus notes is spam", which is clearly not the > desired effect. > > For bayes to work the message fed to bayes must not be modified in any way > from what it looks like as it comes in from the network. The bayes engine > does also examine some headers, so those need to be the same as the > originals as well, possibly with the exception of added Received: lines. > > Anything else is a recipe for a badly trained bayes database. > > See the spamassassin FAQ as well: > > http://spamassassin.taint.org/faq/index.cgi?req=show&file=faq05.003.htp > > > > > > > ------------------------------------------------------- > This sf.net email is sponsored by:ThinkGeek > Welcome to geek heaven. > http://thinkgeek.com/sf > _______________________________________________ > Spamassassin-talk mailing list > [EMAIL PROTECTED] > https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
I agree that it's not the best choice to use a forwarded message, but Notes apparently has no way to extract raw messages. Believe me, I am *totally* open to any suggestions. I believe that this is the least evil way to do it, but I would love to be proven wrong. -- Thomas Cameron, RHCE, CNE, MCSE, MCT Cameron Technical Services, Inc. http://www.camerontech.com/ (512) 454-3200 ------------------------------------------------------- This sf.net email is sponsored by:ThinkGeek Welcome to geek heaven. http://thinkgeek.com/sf _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
