> -----Original Message----- > From: Jim Maul [mailto:[EMAIL PROTECTED] > Sent: Friday, August 06, 2004 11:03 AM > To: [EMAIL PROTECTED] > Subject: autolearn=ham when it shouldnt > > > For some reason, i have a message that SA insists on > autolearning as ham when > its score is clearly above the ham autolearn threshold. > > I even put > > bayes_auto_learn_threshold_nonspam 0.1 > > in my local.cf just in case. > > X-Spam-Checker-Version: SpamAssassin 2.63 (2004-01-11) on > external.elih.org > X-Spam-Level: * > X-Spam-Status: No, hits=1.1 required=5.0 > tests=CLICK_BELOW,DEAR_SOMETHING, > HTML_LINK_CLICK_HERE,HTML_MESSAGE,HTML_WEB_BUGS,INVALID_MSGID, > RCVD_IN_BSP_TRUSTED autolearn=ham version=2.63 > > 1.1 is higher than 0.1 so why the autolearn? > Checking the debug, i notice this: > > debug: auto-learn? ham=0.1, spam=10, body-hits=-1.465, head-hits=-4.3 > debug: auto-learn: currently using scoreset 3. recomputing > score based on > scoreset 1. > debug: Score set 1 chosen. > debug: auto-learn: original score: 1.134, recomputed score: -0.655 > debug: Score set 3 chosen. > debug: auto-learn? yes, ham (-0.655 < 0.1) > debug: Learning Ham > > Where is it getting this -0.655? the score shown above is 1.1? > > Any ideas?
Maybe AWL? Bret ---------- Send your spam to: [EMAIL PROTECTED] Thanks for keeping the internet spam-free!
