I agree, autolearn in conjunction with the odd manual insert works very well here, although I'm still having troubles blocking the variation of those ridicoulous drugs/rx msgs.
0.000 0 1781758 0 non-token data: nspam 0.000 0 319835 0 non-token data: nham Cheers Gav . > > While i would *not* recommend running on autolearning exclusively, it is > working incredibly well here with the occasional manual sa-learn here > and there. sa-learn --dump magic shows the following for my system: > > 0.000 0 1105 0 non-token data: nspam > 0.000 0 28077 0 non-token data: nham > > > Thats like a 1:25 ratio of ham:spam and it is quite rare that i see any > bayes scores that arent bayes_0 or bayes_99. Of course, your mileage > may and probably will vary. > > -Jim
