Re: Question
Stephen Davies <[email protected]>
| Newsgroups | gmane.mail.bogofilter.general |
|---|---|
| Organization | SDC |
| Message-ID | <[email protected]> |
I understand. My initial issue is with the obvious spams not being detected first time round. The first I see of them is in my inbox as ham - despite being so obviously spam. If I save the email and run it through bogofilter -vvv, I get the results I posted. I then use bogofilter -Ns to "fix" the database and this seems to work - until the next spam with the same pattern but from a different source arrives. (bogofilter -vvv at this stage gives bogosity of 1.0). I have changed my min-dev, robx and robs to 0.35, 0.7, 0.1 but first indications are that this is not enough. On Thursday 21 May 2009 10:56:51 RW wrote: > On Thu, 21 May 2009 09:49:48 +0930 > > Stephen Davies <[email protected]> wrote: > > On Thursday 21 May 2009 06:33:00 Thomas Anderson wrote: > > > You have to adjust your robx and robs values. They will determine > > > where never-before-seen and rarely-seen tokens get scored. E.g. if > > > you set your robx within your "unsure" zone, new tokens will never > > > score as ham or spam. And with your robs, you can ensure that > > > tokens seen only a few times also remain less influential. > > > > Thanks Tom. I found the doco and that looks like what I need. > > Just to be clear though, these are not "never-before-seen and > rarely-seen tokens", they are tokens from spams that have been learned > as ham. If you have a setup where you expect high levels of > miss-training, then tuning Bogofilter to mitigate this is sensible - > otherwise I'd want to know why it's happening. > _______________________________________________ > Bogofilter mailing list > [email protected] > http://www.bogofilter.org/mailman/listinfo/bogofilter -- ============================================================================= Stephen Davies Consulting P/L Voice: 08-8177 1595 Adelaide, South Australia. Fax : 08-8177 0133 Computing & Network solutions. Mobile:040 304 0583 VoIP:sip:[email protected] _______________________________________________ Bogofilter mailing list [email protected] http://www.bogofilter.org/mailman/listinfo/bogofilter