On 28.01.09 22:36, RW wrote: > I just pass it though dspam and then score like this: > > header DS_HAM X-DSPAM-Result =~ /^(Innocent|Whitelisted)/ > header DS_SPAM X-DSPAM-Result =~ /^Spam/ > meta DS_HAM_FULL DS_HAM && (BAYES_00 || BAYES_05) > > score DS_HAM -2.5 > score DS_SPAM 21.0 > score DS_HAM_FULL -15.0
don't you trust dspam too much? > score BAYES_00 -2.5 > score BAYES_05 -1.5 Why do you do this? 1. you are assigning scores for BAYES even if BAYES is turned off 2. BAYES_00 has score -2.599 when network rules are on, you are lowering effectiveness - if you want this, you shouldn't assign -1.5 for BAYES_05 > However, thinking about it a bit more, I think that the only real > problem is that ham that scores between 0.1 and 5.0 > wont be learned as ham, and I can fix that by moving the autolearn > threshold to up to 4.9. So you are willing to feed _anything_ to BAYES filters, which means that without manual intervention, FP and FN rate will both quickly increase -- Matus UHLAR - fantomas, uh...@fantomas.sk ; http://www.fantomas.sk/ Warning: I wish NOT to receive e-mail advertising to this address. Varovanie: na tuto adresu chcem NEDOSTAVAT akukolvek reklamnu postu. If Barbie is so popular, why do you have to buy her friends?
