Lots of spam gets through because of BAYES_00 -2.60

[Denis Beauchemin]

Chris W. Parker a écrit :
> Hello,
>  
> I've got (at least) one user who has a strange spam problem. They 
> receive a lot spam all day long but it's usually the same three to 
> four types. It's either about a "JC Penney order confirmation #nnnnnn" 
> (false), a "for dummies" book ads, or "airline flight reservation 
> confirmation" (false of course).
>  
> In almost all emails she receives there is BAYES_00 -2.60 in the spam 
> score. I guess this means that the bayes database is really confident 
> they're not spam. But too bad it's wrong! So this usually ends up 
> putting the email below the threshold for possible spam (4.5).
>  
> What action should I take to remedy this? Is there a way to train the 
> bayes database for these messages? Or feed the bayes database some 
> strings (like the ones above) so that it scores them more accurately?
>  
> Another option I though of is to make my own SA rules to offset the 
> incorrect bayes score but I don't really like that option because it 
> requires me to maintain a list of fixes for the bayes test "mistakes".
>

Chris,

I wrote many such rules over the years... In my opinion, Bayes is not a 
"one size fits all" solution.  You sometimes have to tweak it or find 
external help such as rules emporium or others.

Denis

-- 
   _
  °v°   Denis Beauchemin, analyste
 /(_)\  Université de Sherbrooke, S.T.I.
  ^ ^   T: 819.821.8000x62252 F: 819.821.8045


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