How hard would it be to create a new rule for BAYES scoring that IS used
by autolearn?

Specifically, when I see this:
* BAYES_99 BODY: Bayesian spam probability is 99 to 100%
*      [score: 1.0000]

in the header, I'm fairly comfortable with having it autolearnt and
letting my .procmailrc script send it straight to /dev/null.   However,
since BAYES scores are not used in deciding whether or not autolearn is
used, this rarely happens.

So a new rule of BAYES_100 (for scores that are 100%), that is used
would be helpful.  How?

--

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Chris Barnes                                       AOL IM: CNBarnes
[EMAIL PROTECTED]                            Yahoo IM: chrisnbarnes
Computer Systems Manager                               ph: 979-845-7801
Department of Physics                                 fax: 979-845-2590
Texas A&M University





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