maillist wrote:
I see a few emails every-now-and-then about "bayes poisoning", and am
wondering what is means. From what I understand, it is some message
that gets learned (only through autolearn?) that has certain
characteristics that throw the bayes system off.
From what I've seen there are generally two ways it is referred to:
1. random text or phrases thrown into spam to make it look like spam and
ham look more alike: This is an imagined problem.
2. spam incorrectly leanred as ham or ham incorrectly learned as spam:
Enough of these (either from manual or auto learning) and your Bayes
database will be useless.
--
Chris
