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From spamassassin-...@incubator.apache.org
Subject [SpamAssassin Wiki] Updated: ProcmailToForwardMail
Date Sun, 20 Jun 2004 22:50:30 GMT
   Date: 2004-06-20T15:50:29
   Editor: DanKohn <dan@dankohn.com>
   Wiki: SpamAssassin Wiki
   Page: ProcmailToForwardMail
   URL: http://wiki.apache.org/spamassassin/ProcmailToForwardMail

   no comment

Change Log:

------------------------------------------------------------------------------
@@ -34,26 +34,26 @@
 | /usr/bin/spamassassin
 
 
-# Mail that is very likely spam (>10) can be saved on the server
+# Mail that is very likely spam (>15) can be saved on the server
 # (not forwarded), or by moving the # down one line, even dropped
 # on the floor.  Note that dropping mail on the floor is a *bad*
 # idea unless you really, really believe no false positives will
-# have a score great than 10.  If you want all mail forwarded,
+# have a score great than 15.  If you want all mail forwarded,
 # just add #'s in front of each of these lines:
 
 :0
-* ^X-Spam-Level: \*\*\*\*\*\*\*\*\*\*
+* ^X-Spam-Level: \*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
 #/dev/null
 mail/tenplusspam
 
 
-# Forward all mail with a score less than 10 to my non-publicized address 
+# Forward all mail with a score less than 15 to my non-publicized address 
 :0
 ! privateaddress@example.net
 
 }}}
 
-On your mail client, you'd then likely want to filter mail with a score of 5 or higher (i.e.,
where "X-Spam-Level: *****") into a Likely Spam folder.  False Positives rarely score higher
than 10.  The advantage of leaving mail with a score of 10 or higher on the server is that
it makes it easier to find false positives in the Likely Spam folder without being overwhelmed
by hundreds of obvious spam.  You can then ManualWhitelist those false positives.
+On your mail client, you'd then likely want to filter mail with a score of 5 or higher (i.e.,
where "X-Spam-Level: *****") into a Likely Spam folder.  False Positives rarely score higher
than 15.  The advantage of leaving mail with a score of 15 or higher on the server is that
it makes it easier to find false positives in the Likely Spam folder without being overwhelmed
by hundreds of obvious spam.  You can then ManualWhitelist those false positives.
 
 For the mistake-based training, it's critical to redirect (or bounce) the message, rather
than forwarding.  Forwarding loses all of the critical header information, which is much of
what Bayes trains off of.  Here are directions for redirecting from different clients.  Note
that for all redirections, you'll want to clear away all To: and Cc: entries and then add
spam@example.com to the To:, in order to avoid resending the spam to another victim.
 

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