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Assuming that the same header values appear in both spam and
ham, I'd expect that Bayes would conclude the token was useless for
classification and ignore it.
Loren
----- Original Message -----
Sent: Monday, December 06, 2004 1:46
AM
Subject: Bayes DB's
Our mailservers add their name to the received from header of every
message. As far as I can see, SA detects this and uses it to create
tokens when autolearning.
Because our DB is shown more spam than ham, there are tokens in the
DBase that identify messages coming from our server as being more likely to be
spam than ham. This is quite bad. Is there any way to fix/prevent this
happening?
Thanks,
Richard
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