I would like to increase the accuracy of my spamassassin rules... First I have used kmail and piped my mail through the standard "/usr/bin/spamassassin" without any switches if size of message is less than 250kb and my next rule filters the mail with a X-Spam-Status: YES header to filter to a mbox from a standard .rpm install from binaries off www.spamassassin.org. It's been working fantastic up til now.... I've been getting alot of mail lately with random words in the subject and body (eg. "Re: HQJIYGK, trying to stick" / "leakage larkin six biconcave infelicitous") from random IPs /email addresses. also in the header it says "X-Spam-Status: No, hits=1.3 required=3.0 tests=HTML_20_30,HTML_IMAGE_ONLY_08, HTML_MESSAGE autolearn=no version=2.60" i've already tried using "use_bayes", "bayes_auto_learn" with "1" switch to turn it on.. Am I missing anything else?
I've been looking at the http://spamassassin.org/tests.html to increase accuracy and number to tests performed from ~/.spamassassin/user_prefs but I'm confused... It says that there are 4 settings (local, net, with bayes, with bayes+net) I want bayes+net/net but do I use the interger numbers eg. REMOVE_IN_QUOTES 0.001 0.187 0.001 0.001 which I would use 0.001, 0.187 ?? or do I just add a "1" to switch that test on!?! I would appreciate and welcome any and all suggestions, hints or info that will answer my questions and/or make my hits more accurate and more spam being filtered... P.S. I have also tried using sa-learn --spam on folder but it did not "learn" any new email + I will be upgrading my version to latest later today. Thanks for your time, Freeballer -- .-. /v\ L I N U X // \\ >Penguins are your friend< /( )\ ^^-^^ ------------------------------------------------------- This SF.net email is sponsored by: IBM Linux Tutorials. Become an expert in LINUX or just sharpen your skills. Sign up for IBM's Free Linux Tutorials. Learn everything from the bash shell to sys admin. Click now! http://ads.osdn.com/?ad_id=1278&alloc_id=3371&op=click _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk