I found out the way it does this is just by initially tagging that users email message as -100 points as soon as it is scanned and also getting auto-learned as a result because it is below the minimum ham score. Is there a bug fix for this
Um, what ancient version of the pre-2.50 development branch SA are you using?
AFAIK all released versions of SA with bayes support have always not included the -100 point deduction for whitelists when making autolearn calculations.
The autolearning score is in general not closely related to the final score..
it is calculated as if bayes were disabled, including the shift to scoreset 0 or 1 instead of 2 or 3.
it is calculated without whitelists enabled
it is calculated without GTUBE enabled
That score is what is used for autolearn.. Are you *positive* that the -100 is REALLY what is causing autolearn?
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