This sounds like excellent work. Please do keep us informed about release to the public and such.
On Fri, Mar 13, 2009 at 8:33 AM, decoder <deco...@own-hero.net> wrote: > Hi all, > > > as a result of the recent "2+2 != 4" discussion on the list, here is a new > plugin, which tries to learn ham/spam classification only by knowing which > rules triggered and which did not. This is, so to say, an automatic meta > rule. > > The plugin is currently experimental and can only be checked out from SVN > at: > > https://svn.own-hero.net/sysadmin/MetaSVM/trunk > > > For now I recommend to not use it in production environment, as it is still > untested (except that I tested it). > In order to use the plugin, you need to train your own model, which > requires a certain amount of ham/spam. > > I evaluated the plugin with my own ham/spam corpus (roughly 5000 spam, 3000 > ham) and the resulting model did not produce false positives with respect to > the default scoring, but it catched approx. 30% of the mails that were not > catched by SA itself. I'll probably release more detailed numbers in some > whitepaper soon :) > > > Best regards, > > > Chris > > > -- http://beckoningchasm.com