Steve Sobel wrote on Fri, 26 Nov 2004 13:31:38 -0600 (CST): > How can I find out what triggers these rules, and stop it from happening > on these emails? >
These are Bayes scores, go to the documentation and read about Bayes. Bayes_10 means that message was considered spam with a probability between roughly 5 and 15% percent (I think, it gets rounded). 50% means the probability is 50:50, so no decision can be made. Something approaching 0% is likely ham and something approaching 100% (Bayes_99) is likely spam. This is all based on statistical algorithms which keep track of text tokens they rip out of messages, aggregate them and then compare incoming messages against that collection of tokens. It's commonly referred to as "Bayes" because the original algorithms were thought out by someone called Bayes (not for spam, but for statistical analysis). Kai -- Kai Schätzl, Berlin, Germany Get your web at Conactive Internet Services: http://www.conactive.com IE-Center: http://ie5.de & http://msie.winware.org
