On 16 Sep 2004 13:39:30 -0700, Daniel Quinlan <[EMAIL PROTECTED]> wrote: > > I think we could use a better way to merge Bayesian results into the > SpamAssassin score, though.
Hm. An idea that just occurred to me, that would have been prohibitively expensive with the GA but maybe isn't with the perceptron model: Rather than divide the score sets by with/without Bayes, have multiple score sets and use the Bayes probability to choose which score set to apply. (I.e., there is no direct score for Bayes itself.) A Bayes probability of, say, 0.45 - 0.55 would use the same score set as "without Bayes," on the assumption that in that range Bayes is unable to contribute to the decision. My intuition, which may be wrong, would be that such an arrangement would cause a big increase in the score values of a small number of rules in the score sets for near-zero and near-one probability, though not the same rules in each set.
