I've been running spamassassin for years. I am using auto-learn with very
conservative thresholds. However, after several years of usage my spam
database is about three time larger than my ham database and I am starting
to see false positives.
Is there a way how to "shrink" the spam database?
T
Hi,
> Alex, does Bayes understand/check INSIDE zips, at least for file
> properties? If not, then it is inherently limited (just in this
I'm not sure if you're asking me rhetorically here. I really don't
know. Is it enough that bayes finds the encoded string as the
attachment, and matches that a
On Wed, 28 Apr 2010, Frank Heydlauf wrote:
> Hi,
>
> On Wed, Apr 28, 2010 at 08:05:27PM +0100, Martin Gregorie wrote:
[snip..]
> >> Or could I just use a rule like:
> >>
> >> header From =~ /\...@.*\@/
>
> This regex matches i.e.
>
> From: u...@example.com
>
> which is a common "auto expansion" o
I just received a mistagged-ham report from a customer showing two stock
rules hit on a legitimate email from ING Direct - total score was 6.4,
even with -3.5 from BAYES_00. I've asked if I can pass the message on
for analysis.
Stock scores:
score TVD_PH_SUBJ_ACCOUNTS_POST 2.602 2.607 2.497 3.
