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Bayes Learning [message #454] Fri, 25 August 2006 20:15 Go to previous message
Messages: 7
Registered: April 2006
Junior Member
Ok, I need a definitive answer here... I have pretty much a basic installation of NST, and because we are mostly Outlook and Outlook Express users, not using an Exchange server, we have up to this point not done much to try teaching the bayes database.

However, though NST is killing a good amount of spam, we'd like it to get better, so I finally took a look and found some of the dbx converter programs out there, and can now collect some false negative spam messages, convert them to mbox, and perform the SA learning process.

My question, though, is if I'm supposed to only be teaching it messages that should have been spam, or are we supposed to teach it both spam and ham? Is it effective to only keep false negative spam messages and to run those through the sa-learn --spam process each week? And if we're supposed to also teach it ham, are we supposed to consider ham as only false positive messages, or do we just collect a random bunch of good mail messages and teach SA those as ham?

Thanks for your help, great product!

-Budd Wright
Pelco Solutions, LLC
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