On Thursday 09 November 2006 22:14, Steve Ingraham took the opportunity to say: > Ok, I have a question on these Bayes rules related to false positives. > It appears that many of my users are having legitimate emails scored in > the 8 to 9 range. These emails are scoring high basically because they > are hitting on one of the various Bayes rule (most notably the > Bayes_50_Body and the Bayes_95_Body rules). Is there something > straightforward that can be done to stop these legitimate scores from > scoring high on the Bayes rules? > > I have already decreased the Bayes_50_Body rule from 5.0 to 2.5. I > don't want to decrease the scores with every Bayes rule because I think > I will start seeing some true spam delivered because it did not score > high. > > Any ideas?
1) False negatives are better than false positives (up to a certain limit at
least).
2) BAYES_50 means that the classifier has no idea whether it's spam or not. It
should definitely not be scored at 5.0, and 2.5 is probably way too high, but
it depends on what other rules your ham trigger. The important thing is that
the total for a ham message doesn't go over 5 (or whatever limit you choose).
If almost all ham hits BAYES_00 or the occasional BAYES_05, then in principle
there is nothing wrong with a relatively high BAYES_50 score (1.0, for
example).
--
Magnus Holmgren [EMAIL PROTECTED]
(No Cc of list mail needed, thanks)
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