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<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=253414817-11092007>Personally I find that it is very difficult to make
bayes particularly effective in a corporate enviroment because of the variety of
mails people receive. Therefore I find the low scoring bayes rules give a far to
big a negative score. I tend to overise the low and high scores with the
following :-</SPAN></FONT></DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=253414817-11092007></SPAN></FONT> </DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN class=253414817-11092007>score
BAYES_00 -0.5<BR>score BAYES_05 -0.1<BR>score BAYES_20 -0.01<BR>score BAYES_40
-0.01<BR>score BAYES_99 5.0</SPAN></FONT></DIV>
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style="PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: #0000ff 2px solid; MARGIN-RIGHT: 0px">
<DIV class=OutlookMessageHeader dir=ltr align=left><FONT face=Tahoma
size=2>-----Original Message-----<BR><B>From:</B>
mailscanner-bounces@lists.mailscanner.info
[mailto:mailscanner-bounces@lists.mailscanner.info]<B>On Behalf Of </B>Chris
W. Parker<BR><B>Sent:</B> 11 September 2007 18:43<BR><B>To:</B> MailScanner
discussion<BR><B>Subject:</B> Lots of spam gets through because of BAYES_00
-2.60<BR><BR></FONT></DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial
size=2>Hello,</FONT></SPAN></DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial size=2>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).</FONT></SPAN></DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial size=2>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).</FONT></SPAN></DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial size=2>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?</FONT></SPAN></DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial size=2>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".</FONT></SPAN></DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV> </DIV>
<DIV><SPAN class=295053517-11092007><FONT face=Arial
size=2>Thanks!</FONT></SPAN></DIV>
<DIV align=left>
<P style="FONT-SIZE: 8pt; FONT-FAMILY: Arial,sans-serif" align=left><SPAN
style="FONT-WEIGHT: bold; FONT-STYLE: italic">Chris Parker</SPAN><BR>Aardvark
Tactical, Inc.<BR>IT Manager<BR><SPAN style="COLOR: rgb(107,116,42)">1002 W
Tenth St. Azusa, CA 91702<BR>phone: 800.997.3773 x131 fax:
626.334.6860<BR>cparker@swatgear.com</SPAN></P><IMG
src="http://www.swatgear.com/sig_logo_rsml.gif"> </DIV>
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