On Thu 27 Aug 2009 02:34:16 AM CEST, Karsten Bräckelmann wrote
Also, I do agree with the post by RW. By lowering the auto-learn ham threshold you managed to get the ratio more sane. However, continuing to do so you won't really learn any ham, but spam only.
not if nham is bigger then nspam, this counters say if your thrshold is good or bad imho, and it also show what to tweek to get more learning in bayes
if a spam mas scores 5.1 its unsafe to learn as spam, and if a ham msgs scores 4.9 its unsafe to learn as ham
is there also a last learned digest in sa-learn --dump magic ? if its very long since last learned the thrshold ranges are to big
Raising the threshold back to the default likely would be a good idea, and occasionally lower to get the effect you just observed: Get the ratio back to somewhat balanced.
there is alot of ways to solve it, but since settings is not that hardcoded in sa why not change them if it helps ?, imho this is the point that there is same source code to all, but that does not mean that we all get the same ham spam mails to fight against
-- xpoint
