You can find a Bayes starter DB over at http://www.fsl.com/support/
I've used it here after our Bayes database got trashed
without having any false positive problems.
We use Bayes autolearn here, and after some good manual
training I've never seen it cause problems.
The key is to have a good set of rulesets in place to start
with (all the relevant ones from rulesemporium.com), with razor, DCC, and
uri blacklists (including uribl.com's blacklist).
Cheers,
Phil
--
Phil Randal
Network Engineer
Herefordshire
Council
Hereford, UK
From: Leigh Sharpe [mailto:[EMAIL PROTECTED]
Sent: 30 June 2006 00:45
To: users
Subject: Training Bayes properlySo it looks like I have to reset my Bayes and re-train it. I want to do it properly this time. I will be making sure I personally review every message that our users put into the spam folder first, to make sure they haven't put spam into the wrong folder. However, I have a couple of questions:1) Am I better off to feed it a few emails a day, or wait until I get a few hundred, then feed them all to sa-learn at once? Is there really a difference?2) How many spams should I feed it? I've heard in some places that 200 is OK, I've heard elsewhere that 10000 or more are needed.3) Just how 'balanced' should it's diet be? Should I use the same quantity of ham as spam, or can I get away with less ham than spam?Regards,
LeighLeigh Sharpe
Network Systems Engineer
Pacific Wireless
Ph +61 3 9584 8966
Mob 0408 009 502
email [EMAIL PROTECTED]
web www.pacificwireless.com.au
