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Hello Joe,

Thursday, July 24, 2003, 7:43:02 AM, you wrote:

JJ> I see what you're saying. I actually whitelisted these specific
JJ> addresses due to the fact that all they produce is ham. Nothing that
JJ> comes from them looks remotely spammish and I wanted bayes to learn
JJ> from them (esp. to get over that 200 message hurdle).

But, if nothing that comes from them looks remotely spammish, then where
is the value in teaching this ham to Bayes?

IMO the value of Bayes is that it learns to distinguish between
questionable emails, those which more standardized rules can't pin down.

Because of this, I concentrate on feeding Bayes those (very) few emails
which are misclassified (FPs and FNs), and also those emails which are in
the midrange (spam within 1.0 of my required hits, ham with positive
scores).

I believe this will tend to help Bayes more correctly classify the
otherwise hard to classify emails.

JJ> I suppose what I am looking for then is a new feature ie: "learn-from
JJ> [EMAIL PROTECTED]". Or I suppose I can just make a rule that looks
JJ> for the From that I want to learn from and set my own negative score
JJ> for those.

I considered doing something like that, creating a non-whitelist rule
with a -50 score, and a non-blacklist rule with a +50 score, just to
force Bayes to learn the email, but if the email is that easy to
classify, then why bother filling up the Bayesian database with those
tokens? Those emails are what the normal SA rules are for.

YMMV.

Bob Menschel


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