One final question on this subject (sorry...). Is there value in training Bayes on messages that SA classified as spam *due to other test scores*? In other words, if a message is classified as SPAM due to a block-list test, but the message is new enough for Bayes to assign a zero score, should that message be kept and fed to sa-learn so that Bayes can soak-up all the tokens from a message that is almost certainly spam (based on the other tests)?
Am I making any sense? Thanks again! -Ben
