[...] > the "warning" is what I am writing about. I read that > there should be a more equal ratio of spam/ham but > how are we to create that ratio when email continues > to come in a skewered (in in my case a 15:211) ratio? I > could unsubscribe from lists and then the spam would > be more equal but obviously that's not practical.
We recommend not training on all messages, but rather using a mistake- based training approach. Train any messages that are incorrectly classified and any messages that are unsure. [...] > there's no global option to list everything > as defer & then select the Spam & equal #'s of HAM > for training purposes. Yes, there is. These are the "Default training for ham", "Default training for spam", and "Default training for unsure" options. They are on the advanced configuration page. =Tony.Meyer -- Please always include the list (spambayes at python.org) in your replies (reply-all), and please don't send me personal mail about SpamBayes. http://www.massey.ac.nz/~tameyer/writing/reply_all.html explains this. _______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
