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Chris Thielen writes:
> Tom,
>
> IANABE (I am not a bayesian expert) but with a naive understanding of the
> algorithm, I think I can see value in learning an email that's already
> scored at 1.000.
>
> There were obviously a lot of spammy tokens in
#x27;ve just seen this question come up fairly
> often, and can't wrap my head around it.
>
> -tom
>
>> -Original Message-
>> From: [EMAIL PROTECTED]
>> [mailto:[EMAIL PROTECTED] On
>> Behalf Of Chris Barnes
>> Sent: Wednesday, November 05,
and can't wrap my head around it.
-tom
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On
> Behalf Of Chris Barnes
> Sent: Wednesday, November 05, 2003 2:09 PM
> To: [EMAIL PROTECTED]
> Subject: [SAtalk] a new rule
>
> How hard would i
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.]
in the header, I'm fairly comfortable with having it autolearnt and
letting my .procmailrc script s
