Hello Deon, Tuesday, March 16, 2004, 4:26:48 AM, you wrote:
DdV> Is it simply a matter of playing around with the autolearn DdV> thresholds until I find a good balance? Or better: playing around with the autolearn thresholds until you find the ones that work for you (balance not necessary). DdV> I would dearly like to utilise autolearning as I am running SA in a web DdV> hosting environment and so have numerous servers hosting even more DdV> numerous domains all talking to the same server via spamc/spamd and DdV> hence utilising the same bayesian database. If I can get autolearning DdV> working then this seems to be the right way forward for me. I use a non-spam threshold of -2 and a spam threshold of 20. The non-spam of -2 ensures that spam which sneaks by hitting no rules does not get wrongly learned as ham. I'm very happy with that setting. Of course, it requires a number of negative-scoring rules in your local configuration to work. The spam threshold of +20 is probably a bit high. It catches a goodly amount of spam, but could catch more if I lowered it. Since I manually feed ALL spam and ham into sa-learn, auto-learned or not, refining that latter threshold hasn't been a priority for me. Bob Menschel
