You can also add some very effective RBLs that are not configured for use by
default in SA.
Using these, running 2.61, training the bayes and adding some suitable
custom filters we are seeing spam identification rates approaching 99.36%,
with almost zero false positives.
John
-----Original Message-----
From: social-bounces at linux.ie [mailto:social-bounces at linux.ie] On Behalf Of
Donncha O Caoimh
Sent: 09 January 2004 12:28
To: Joe Desbonnet
Cc: social at linux.ie
Subject: Re: [ILUG-SOCIAL] too much spam
Are you training SA at all? Do you have the latest SA? I get almost the same
amount of spam as you do, but only 1-2 (if that!) gets through to my MUA.
Hmm, just noticed that SA 2.61 is out! I think I only have 2.6
Donncha.
Joe Desbonnet wrote:
> Too much spam on this list (not that a few spams a day makes much
> difference on the 200-500 I get *after* spamassasin and mozilla
> filtering).
>> Email is getting just plain useless. An Post: all is forgiven.
>--
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