Hi, I have SA working very well for me, but there are still a few cases of spam that are very persistent, I still get a considerable amount of spam that SA doesn't catch.
However, what is annoying is that no matter how much I feed through sa-learn, the SA score doesn't change much. I created a folder sa-learn where every day I'll put in the spam that is not caught, and once a day I have a cronjob that automatically feeds the messages to sa-learn, and every day I get the confirmation that X messages were learned. There are some messages from certain places that I get every single day, of course I could easily just block by subject but I would like to have SA be able to catch it and that's why I specifically use sa-learn on a daily basis. Maybe it's something to do with my configuration, I don't know. I'm running spamc/spamd 3.2.4 on a Ubuntu 8.04 server, it's the standard Ubuntu package. I have the default settings for Bayes (with auto_learn) and I'm using a mysql backend for BayesStore. I don't have really any customized settings, I'm just using the out-of-the-box Ubuntu settings, except for configuring bayes with mysql. So anyway, what does it take for sa-learn to actually start changing the score so that eventually I can get the correct classification? I can send some samples if desired. Thanks Ricardo
