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Hello Bonny,

I second Daniel's suggestion to use the Bayesian features. They work
wonderfully.

Meanwhile, do you have full access to the SA setup? Or like me are you
and end-user, limited to using just user_prefs?

If you have full access to the SA setup, you can add rules to your config
file(s) to trap additional signs of spam.

If you're an end-user, then you probably don't have access to anything
but user_prefs, and you probably can't (yet) create your own rules. You
can modify scores for specific rules in user_prefs, but without a system
like I've developed to implement a second level of spam checking, you
can't activate your own rules.

You can do a lot with some very simple and very minor modifications to
rule scores, though. The trick there is to identify what spam gets
through and to make the minimal amount of change necessary to trap the
spam.

Bob Menschel

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Saturday, July 26, 2003, 7:37:52 PM, Daniel wrote:

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DC> I would suggest two things:

DC> 1)  Use the Bayesian feature of SA so that it can "learn" to distinguish 
DC> spam better.

DC> 2)  Instead of blindingly strengtening all rules, try to figure out some 
DC> new rules that are likely to catch the spam you are getting and not 
DC> legitimate mail.

DC> It is best to have many rules with small scores than a few rules with 
DC> large scores.

DC> On Sun, Jul 27, 2003 at 04:27:31AM +0200, Bonny wrote:
>> As from the subject... what can I do if some spam passes the filter? Is
>> there any way to strongen the filters, without getting false positives?
>> 
>> Thank you...
>> 
>> -- 
>> Bonny - Registered Linux User #251752
>>        --- VB LUG Moderator ---
>> If a program is useless, it must be documented.






-- 
Best regards,
 Robert                            mailto:[EMAIL PROTECTED]




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