No Bayes scores are listed in the header above, so I assume the 'real' score is 9.0. Is there something else that may be affecting the 'real' score?
Just to prove the point, I decided to add it all up using both scoreset 3 and scoreset 1.
score BIZ_TLD 0.747 0.784 0.782 0.100 score CLICK_BELOW 0.100 0.000 0.000 0.100 score DATE_IN_PAST_96_XX 1.781 1.238 2.165 1.534 score HTML_50_60 0.699 0.183 0.514 0.100 score HTML_MESSAGE 0.160 0.001 0.100 0.100 score HTTP_EXCESSIVE_ESCAPES 0.153 0.748 0.502 0.777 score MIME_HTML_NO_CHARSET 1.064 0.716 1.030 0.561 score MIME_HTML_ONLY 0.666 0.100 0.248 0.320 score PENIS_ENLARGE 1.101 1.101 0.500 2.692
score HTML_LINK_CLICK_HERE 0.100 0.100 0.100 0.100 (note: expanded) score WLS_URI_3861 1.0 1.0 1.0 1.0 score WLS_URI_3823 1.0 1.0 1.0 1.0 ----------------- total 6.88 8.652
Note that the scoreset 3 score of this email winds up being 8.652, whereas the scoreset 1 score winds up being a mere 6.88.
I'm not sure why the rounded score you have shows up as 9.0.. have you altered some scores a bit?
Regardless, 6.88 is NOT over 7.5, thus the email should not be autolearned.
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