On Sun, Mar 30, 2003 at 01:06:42PM -0500, Ross Vandegrift wrote:
> Now, almost 100% of that ham is is autolearned, so I should have a
> similarly strong weighting toward ham as Chris, right?
> 
> This makes sense - I'm subscribed to a lot of high traffic mailing
> lists, so I really do get a lot of legit mail.  On the other hand, I'm
> pretty good about storing a learning all my spam, so it seems it's a
> problem.

Having a lot of heavy trafic mailing lists I had the same problem until I
learned my last 6 months of spams and changed auto_learn_threshold_nonspam
from -2 to -8.5 on my systems, but I'll have to lower it again soon because
manually learning daily spam isn't enough...

> Problem is - it *definately* affects accuracy.  2.5 has definately been
> doing downhill since I installed it, with respect to how much spam gets
> through.  I was originally going to propose that the autolearn not
> actually autolearn when nham >> nspam, but then it'd be difficult to
> track changing trends in email.  So I don't know what to do.

I second that request :
autolearning a ham should be active only when nham < 2*nspam || nham < 200
and respectively for a spam only when nspam < 2*nham || nspam < 200

For change tracking it should be the expiration's duty and in my case spam
changes should be more often than ham changes.

Denis Ducamp.

-- 
http://www.groar.org/enough/bushit.jpg


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