Am 01.10.2014 um 18:39 schrieb Jason Haar: > We're using SA-3.4.0 with REDIS for bayes and until now what I've > normally seen is that if a piece of spam got through and got (say) > BAYES_00, then I could throw it back in via "spamc -L spam" and > immediately see it jump up to BAYES_50 > > Well today I threw in such an email, "spamc -L spam" returned it was > learnt and re-running it returns "message was already un/learned", but > running it through "spamc" still returns BAYES_00 - no sign that Bayes > has altered the score! > > Why didn't the score change when explicitly told it was spam? Is that a > "statistics thing", or has something gone wrong with my Bayes?
you must not expect that a single mail changes bayes that much if it would work that way you would risk with every single training message to increase false positives or with every single ham.training trash your spam detection if it does your bayes is not really trained well with both spam as well as ham - after enough training it reacts only in that way if the message has a unique footprint and no neutralized elements (neutralized = exists in spam as well as ham) please consider to read how bayes works at all
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