Kevin Peuhkurinen wrote:
I'm bumped my BAYES_90 and 99 up to the point where they alone will cause the email to be regarded as spam. I've bumped BAYES_80 up to almost the threshold so that it would only take one or two additional rules to put it over.
Thanks. I read the link posted by Theo (HowScoresAreAssigned) and I didn't understand it (duh). Can you tell me what you have for BAYES_80, 90 and 99? I am not clear on the progression:
score BAYES_80 0 0 5.300 2.862 score BAYES_90 0 0 4.027 3.002 score BAYES_99 0 0 5.200 3.008
and what these ranges imply (eg for bayes_90, does this mean that something that is evaluated as 90% gets a score of 3.008 and something at 98.9 gets a score of 5.200? The explanation for why bayes_80 is out of whack did not make any sense to me:
"This lets the GA lower the "learn" rule score due to the inevitable false positive,
while also still marking the message as spam via the other rule scores".
But in my case, the other rules are not combining for a high enough score to put the message over the top, but bayes_80 or bayes_90 is often flagged in these messages.
- jim -
