The most common training problem we generally encounter is too much spam in the database. Martin v. Loewis and I implemented a SpamBayes trainer for bugs.python.org which seems to be exhibiting the reverse. I'm just training now through the web interface (looks just like the SpamBayes POP3 proxy training interfac). I see about 25% unsures and the rest hams. A couple messages scored as spam, but they were mistakes.
I'm only training a couple unsures out of each day as ham and discarding the rest. Still, I've got a database with essentially all hams. What might I expect in the way of accuracy? Skip _______________________________________________ spambayes-dev mailing list spambayes-dev@python.org http://mail.python.org/mailman/listinfo/spambayes-dev
