A twist for me, Spambayes has been so good at finding HAM that it no longer identifies HAM as unsure or SPAM. I'm still getting spam that sometimes shows as HAM so I train it as such.
Now I get this notice: "Warning: you have much more spam than ham - SpamBayes works best with approximately even numbers of ham and spam." How do I deal with this? should I find old emails known to be good and paste the raw header/message info into the "Train on a message" window? Since so much is accurately coming in as HAM but SPAM is eternaly new, how do I best bolster the trained HAM emails ratio? Thanks, Gary _______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
