Going forward, would it be possible to have a configuration option that
allows you to take Bayes scores into account when autolearning?

-----Original Message-----
From: Matt Kettler [mailto:[EMAIL PROTECTED] 
Sent: Friday, September 12, 2003 12:49 AM
To: Larry Rosenman; [EMAIL PROTECTED]
Subject: Re: [SAtalk] What the F****??

At 10:36 PM 9/11/03 -0500, Larry Rosenman wrote:
>a SPAM message being learned as HAM?
>
>
>X-Spam-Flag: YES
>X-Spam-Checker-Version: SpamAssassin 2.60-rc4 (1.203-2003-08-29-exp) on
>         lerami.lerctr.org
>X-Spam-Level: *****
>X-Spam-Status: Yes, hits=5.5 required=5.0 tests=BAYES_99,HTML_MESSAGE
>         autolearn=ham version=2.60-rc4
>MIME-Version: 1.0

What's your autolearn threshold set to? Is it greater than 0.2?

Remember that autolearning is done based on the score as if there was NO

BAYES involved.

Thus the bayes_99 goes away. This will VERY significantly reduce the
score 
of this particular message. The only rule left has a very small score:

score HTML_MESSAGE 0.160 0.001 0.100 0.100

So, poof, autlearned as ham, even though bayes_99 made it tag by adding 
another 5.4 points to it.




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