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Chris Thielen writes: > Tom, > > IANABE (I am not a bayesian expert) but with a naive understanding of the > algorithm, I think I can see value in learning an email that's already > scored at 1.000. > > There were obviously a lot of spammy tokens in that email which bumped the > score to 1. However, even an email that scores 1 can have tokens that are > neither spammy nor hammy, or tokens not yet seen. Learning this email > would not only reinforce the super-spammy tokens (questionable value), but > also help weight the somewhat neutral tokens towards spammy and begin to > weight the never seen tokens. > > Disclaimer: > I'm probably wrong. Nope, you're totally correct ;) - --j. -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.2.2 (GNU/Linux) Comment: Exmh CVS iD8DBQE/qqAXQTcbUG5Y7woRAm/8AJ4tSY9KxqBpQ1M7eT+WmjgQcdzv7ACgytCh Xalfm3/e9FP8rVnhz9wPjgE= =eLkr -----END PGP SIGNATURE----- ------------------------------------------------------- This SF.net email is sponsored by: SF.net Giveback Program. Does SourceForge.net help you be more productive? Does it help you create better code? SHARE THE LOVE, and help us help YOU! Click Here: http://sourceforge.net/donate/ _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
