Ok, interesting. But I do have bayes trained with many thousands of messages; I imagine many of them having similar stuff, and it seems that the bayes score for this message was quite low.
How does the Bayes training work, anyway... If this one message gets trained as --spam, how much of an effect does that have next time around? Thanks Ricardo ----- Original Message Follows ----- > > At 07:00 PM 1/26/04 -0800, ricardo wrote: > >Does anyone have any suggestions on how to possibly make > SA get a higher >score for this type of message? Any new > recipes that might improve the >scoring? > > Quite frankly, that email with all its mis-spelled words > should be easy pickings for bayes. Train. > ------------------------------------------------------- The SF.Net email is sponsored by EclipseCon 2004 Premiere Conference on Open Tools Development and Integration See the breadth of Eclipse activity. February 3-5 in Anaheim, CA. http://www.eclipsecon.org/osdn _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
