At Thu Jan  1 02:09:41 2004, Theo Van Dinter wrote:

> Well, Bayes says it's 100% spam, which doesn't count towards autolearn
> decisions.    As the debug output says, the original score (scoreset
> 3, with no learn or userconf rules applied), the message scores 0.1
> (HTML_MESSAGE).  In scoreset 1 (used to determine autolearn), the
> message only scores 0.001 (HTML_MESSAGE).  It then compares the 0.001
> score to the required ham autolearn value of 0.1, determines the messages
> scores lower, and promptly learns it as ham.  No bug, works as designed.
> (this should be in the docs and/or the faq btw...)
> 
> There's been discussion about having to have both the original and
> recomputed score over/under the spam/ham autolearn score before it'll
> actually autolearn, but we haven't really done anything with that yet.

One of the issues (I won't say "problems") with SA 2.6x is that the
autolearn_as_ham threshold is set at 0.1.  This means that a spammer
who manages get a message through at a score of 0.0 (by hitting very
low scoring rules, or no rules at all) will get their message
autolearned as ham.

To be honest, though, I can't think of any way round this, short of
re-introducing the negative-scoring rules of early 2.5x which spammers
will then proceed to abuse (as they did with 2.5x) :-(

Martin
-- 
Martin Radford              |   "Only wimps use tape backup: _real_ 
[EMAIL PROTECTED] | men just upload their important stuff  -o)
Registered Linux user #9257 |  on ftp and let the rest of the world  /\\
- see http://counter.li.org |       mirror it ;)"  - Linus Torvalds _\_V


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