Am 23.01.2015 um 18:59 schrieb John Hardin:
On Fri, 23 Jan 2015, Wolf Drechsel wrote:I googled and read a lot - but couldnt find any trick... After months of training still round 90% of all messages are treated as SPAM, allthough I'm marking all of them as HAM.2.0 BAYES_50 BODY: Spamwahrscheinlichkeit nach Bayes-Test: 40-60% [score: 0.4760]BAYES_50 means "insufficient data to classify" Why does that earn 2.0 points in scoreset 3??
it means also "no way to classify" ever a good bayes don't do that for many ham messageswe treat it with 2.5 points with a bayse of currently 8000 ham and 8000 spam samples because only a few messages have BAYES_50, most are BAYES_00 with a score of -3.5 or BAYES_99 with a score of 7.5 at a milter-reject level of 8.0, i dont't recall a single FP based on that
otherwise most spam would not get rejected95% of our messages with BAYES_50 reach the 8.0 points to get rejected by the milter and looking at the tags for a good reason
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