tonjg wrote: > Kai Schaetzl wrote: > >> So, how many tokens do you have in your db now? >> > > I hope this command gives the correct answer... > # sa-learn --dump magic > 0.000 0 3 0 non-token data: bayes db version > 0.000 0 514 0 non-token data: nspam > 0.000 0 402 0 non-token data: nham > 0.000 0 54301 0 non-token data: ntokens
As long as you are running sa-learn as the same user SA uses when it checks mail, this looks ok. As has been asked before, post a sample missed spam or two to a pastebin and then post the links here. That way, we will be able to see what rules are hitting, test the spam on our systems to see what happens, and give you some suggestions. With a hit-rate as low as you are reporting, there has to be something broken, but until we can see what your system is doing, we can't give you much constructive advice. You may also want to add the line: add_header all Report _REPORT_ to your local.cf. This will add the full SA header report to all emails and make it easier to see which rules are hitting on the missed spams. -- Bowie
