On 1/15/2013 3:47 PM, Ben Johnson wrote:
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?
It is always worthwhile to train Bayes. In an ideal world, you would
hand-sort and train every email that comes through your system. The
more mail Bayes sees the more accurate it can be.
--
Bowie
