From: Arvid Ephraim Picciani <a...@exys.org> Date: Wed, 25 Mar 2009 16:59:58 +0100 http://codepad.org/W53onqK9 i gave on this kind of spam. its impossible to train bayes and changing to fast to make custom rules. ... What do you mean "its impossible to train bayes"? Bayes really can be trained to deal with this message. For example, I get BAYES_95:
wget -O - -q http://codepad.org/W53onqK9/raw.txt | spamc | /bin/fgrep --text X-Spam-Bayes X-Spam-Bayes: bayes=0.9679, N=50(29-2+11), ham=(sort, doing), spam=(UD:spaces.live.com, UD:live.com, UD:entry, dawn, HX-Mozilla-Status2:00000000) After I learn this message the probability increases to BAYES_99 % wget -O - -q http://codepad.org/W53onqK9/raw.txt | sa-learn --spam Learned tokens from 1 message(s) (1 message(s) examined) % sa-learn --sync % wget -O - -q http://codepad.org/W53onqK9/raw.txt | spamc | /bin/fgrep --text X-Spam-Bayes X-Spam-Bayes: bayes=1.0000, N=50(47-2+29), ham=(sort, doing), spam=(UD:spaces.live.com, UD:live.com, UD:entry, dawn, HX-Mozilla-Status2:00000000) Note that Bayes has determined that UD:spaces.live.com is a spam sign. The X-Spam-Bayes header is added with add_header all Bayes bayes=_BAYES_, N=_BAYESTC_(_BAYESTCLEARNED_-_BAYESTCHAMMY_+_BAYESTCSPAMMY_), ham=(_HAMMYTOKENS(5,short)_), spam=(_SPAMMYTOKENS(5,short)_) -jeff
