Bowie Bailey wrote:
It would be nice if updates.spamassassin.org wasn't using mirrors on non-standard ports, sa-update is trying to use http://buildbot.spamassassin.org.nyud.net:8090/updatestage/ which means I'd have to open a port on my firewall just to get updates, sigh...Michael Monnerie wrote:On Mittwoch, 10. Mai 2006 17:27 Bowie Bailey wrote:So you are saying that I should not feed Bayes with the unsolicited marketing garbage that I get because it looks like something that could have been requested?If it's a newsletter from a seemingly legit company I don't feed it to bayes. I try to unsubscribe from them. If they still send me, I write some rule to filter them. If some customer then rants, I tell them that said company doesn't work nicely - and he should make a filter to get e-mail from that company out of the SPAM folder again.If it comes to an account that does not subscribe to newsletters (webmaster, sales, etc), it is spam by definition and is fed to Bayes.Remember: 10 good SPAM and HAM are better than 200 where 5% are wrong.Wrong for who? If it looks like marketing, 99% of the time, I don't want it. And for most of the accounts that I deal with, this goes up to 100%. Not true for my customers, tho.Yes, some manual filters can catch those. If it's stupid SPAM, then bayes.My philosophy with Bayes has always been to skip the ham/spam definitions and go with a wanted/unwanted model. This way Bayes learns to filter out the emails you don't want even if some of them may technically be ham. (Obviously, I would not be able to do this on a site-wide installation)But as you said your bayes is not quite accurate, so it seems not to work really. Wouldn't it be better to have a highly accurate bayes, and setup some filters for you personally? If a BAYES_99 would be always SPAM for you, you could give it 4.5 or 5 points, and probably filter more SPAM than now?If I look at my personal database, the spam percentage shown in the stats is lower than I'd like, but I wouldn't say it's not accurate. I very rarely see a true false positive or negative with Bayes and I watch my account closely. I do see a few ham with BAYES_99 and spam with BAYES_00, but that's usually simply because those were either spam that only hit BAYES_99 or ham (usually from this list) that tripped a few extra rules.But then again, I think less than half of my users are even taking advantage of the spam markup. Since I don't do any blocking or sorting on the server, it is up to them to use MUA rules to sort or delete the spam once my server has marked it.I do the same, just wrote a nice document for Outlook 2003 describing how to filter SPAM.I've done the same for both Outlook Express and Thunderbird. The Thunderbird setup is a single checkbox. :) Jay |
- Re: Latest sa-stats from last week Michael Monnerie
- RE: Latest sa-stats from last week Bowie Bailey
- Re: Latest sa-stats from last week Jay Lee
- Re: Latest sa-stats from last week jdow
- RE: Latest sa-stats from last week Bowie Bailey