----- Original Message ----- > >
> > The best thing you can do for bayes is to train it religiously each night.
> > Since we only have 6-7 email users, I have a absurdly simple script
> > that runs sa-learn on each user's Spam and Ham mailbox each night.
> > I just name each person's mailbox explicitly in the shell script.
> >
> > Crude but effective.
> >
> > Hope this helps,
> >
> > Mike
>
> We train it daily. :)
>
> I have also been reading up on the sendmail rbl lists. I understand
> that using the sorbl lists I have to accept the email upfront in order
> to scan the content and run the search. At that point does it drop the
> message or just apply a score to it?
>
> Thanks for the ideas.
>
> --
> Scot L. Harris
It doesn't drop the message, it scores it and passes it through.
I just recently turned on the URI stuff and it has been very
effective. It too has to let the message in and scan it of
course.
My blackhole hits from yesterday are:
BlackHole Totals:
bl.spamcop.net: 43 Times(s)
list.dsbl.org: 32 Times(s)
njabl.org: 5 Times(s)
sbl.spamhaus.org: 537 Times(s)
These are messages that never got in the system.
Small potatoes to most people on this list but when
you are just 6 people thats a big difference!
Mike
