On Fri, 01 Jun 2012 14:52:45 +0200 Frank Walter wrote: > There is very few spam in the spam folder and then these mails have a > very small Bayes score (e.g. 0.8). But there is more spam in the > inbox. > > I thought, if I put a mail into the spam folder and after sa learned > it, there would be no question that the Bayes score for this mail > would be high, the mail would be detected as spam.
That's a false assumption. If you learn a spam and retest the exact same spam it's very likely to hit BAYES_99, but that doesn't mean that similar spams will be caught. Some types of spam are very resistant to learning. Most ham is usually learned easily - check that most of it is hitting BAYES_00. > But it happens > often that I get this kind of spam mail again. > > Are the settings I posted all right? IIWY I'd increase the bayes_expiry_max_db_size to 500000 which is about the maximum you can have without the expiry algorithm failing to find a solution due to its hard-coded 256 day limit. If 801 is the total spams from two years, that's about one a day; with a 64 day token retention you are probably not retaining enough spammy tokens. If a lot of spam isn't being caught, make sure you have network tests running and the trusted and/or internal network is setup properly.
