I'm kind of confused here. The way I see it (which could very well be a misunderstanding, mind you) is that the reason it autolearns spam over 15 points by default is to make darned sure that it doesn't learn a false positive. Then one would augment its learning by feeding missed spams through sa-learn. The only reason I can think of to NOT feed low-scoring spams through sa-learn is that I've decided that a spam that scores 5.x points has no interesting tokens. Quite the opposite is true; that's why we feed it with a corpus of known spam in the first place, rather than feeding it a corpus of known spam that has been run through spamassassin manually and the under-15 spams weeded out. Same goes with hand-feeding hams that score 4.x points, in the theory that there's a fixed probability that a ham from that source will at some point trigger another test and trip it over the threshold. Perhaps I misunderstand. If so, I'd appreciate alternate viewpoints and discussion.
Sorry for the late reply - I was doing something else :-)
To get a reasonable base, it's been my understanding that you teach Bayes what is spam and what isn't. Your basic spam score's already defined (default +5.0) in local.cf. You go on doing that until you've got 200 of the things (spam.) To my mind that should be closer to 500 or even 1,000, but never mind. You do that to get a reasonably biased base.
You don't start contradicting what you've taught it by teaching it low scoring spam until after you've reached your minimum bias of 200.
You'll confuse the whole Bayes database if you do anything different. Why in goodness name put a minimum score of 5 in the first place, if you're going to contradict yourself?
It's not me that made up the above, it's in the documentation and the list archives and what I kept to myself when I first started teaching Bayes.
Tony
-- Tony Earnshaw
- Deyr fé, deyr frendr deyr sjálfr 'it sama - ek veit ein aldrigi deyr - dómr um dauđan hvern.
From Hávamál - the voice of the gods.
http://j-walk.com/blog/docs/conference.htm http://www.billy.demon.nl Mail: [EMAIL PROTECTED]
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