Hi all!
I have a bayes question I am hoping someone may be able to answer for me.
Since implementing bayes it has been doing a very good job except for one
thing.
One particular spam email is not getting tagged as spam. My rules are
scoring the email high enough to be tagged as spam, but it is also hitting
the BAYES_00 rule, which is deducting 4.9 point, thus causing the email to
not be tagged as spam.
I am very new to bayes so some of my terms may be incorrect. But it would
appear that bayes has "learned" something incorrectly.
I am not sure if something got autolearned as ham, etc. But, my question is
how do I go about finding out exactly what within bayes is causing this
email to be scored as BAYES_00? And more importantly, how do I "undo" it?
If it helps, here is the X-Spam info from the header:
------------------
X-Spam-Status: No, hits=3.2 required=4.9 tests=BAYES_00,DATE_IN_PAST_96_XX,
J_CHICKENPOX_13,J_CHICKENPOX_22,J_CHICKENPOX_33,J_CHICKENPOX_34,
J_CHICKENPOX_42,J_CHICKENPOX_45,J_CHICKENPOX_91,MISSING_OUTLOOK_NAME,
SARE_ADLTOBFU autolearn=no version=2.64
------------------
Hope this makes sense. If not, I apologize.
Thanks!
John W Mickevich
Computer Management Technologies
Email: <mailto:[EMAIL PROTECTED]> [EMAIL PROTECTED]
