Neil wrote: > > So maybe this is moving slightly off on a tangent, but: > Why does auto-learn sometimes learn spam with a rating of X, but not > spam with a rating of X+Y? Where's it's methodology?
First, there's several rules involved here. To autolearn as spam *ALL* of the following must be met: -must have at least 3 points from header type rules -must have at least 3 points from body type rules -must not already match a low-scoring bayes rule in the existing training (ie: BAYES_00) This prevents autolearning from contradicting existing training. -After recomputing the score of the message as if bayes and all userconf rules were disabled (including changing the scoreset! This makes a big difference in some cases.), that score must be over the spam learning threshold. This prevents bayes from engaging in self-feedback or feedback based on manual whitelists (which, if misconfigured would cause a "bayes hangover" of mis-learned mail). Generally speaking, the score you see in the message header has only a loose correlation with the score used for learning checks.
