Quoting Matt Kettler <[EMAIL PROTECTED]>:

> Sn!per wrote:
> > Hi all,
> > Am using SA version 3.2.4 . So far working great.
> >
> > I am comparing the headers on two of my mails. The first mail is NOT a
> spam, and X-Spam-Status is like so:
> >
> > No, score=2.7 required=10.0 tests=RCVD_NUMERIC_HELO,RDNS_NONE autolearn=no
> version=3.2.4
> >
> >
> > The second email is a spam, and its X-Spam-Status looks like this:
> > Yes, score=24.4 required=10.0 tests=DCC_CHECK,DIGEST_MULTIPLE,
> PYZOR_CHECK,RAZOR2_CF_RANGE_51_100,RAZOR2_CF_RANGE_E8_51_100,RAZOR2_CHECK,
> RCVD_IN_BL_SPAMCOP_NET,RCVD_IN_PBL,RCVD_IN_SORBS_DUL,RCVD_IN_XBL,RDNS_NONE,
> URIBL_BLACK,URIBL_JP_SURBL,URIBL_RHS_DOB,URIBL_SC_SURBL,URIBL_WS_SURBL
> autolearn=spam version=3.2.4
> >
> >
> > Question: Why is it that on the header of the ham, autolearn=no ?
> 
> Because with a score of +2.7 it didn't meet the score criteria for 
> either spam or nonspam learning. SA only autolearns low scoring nonspam 
> and high scoring spam. Everything "in between" it figures might be 
> miscategorized, so it doesn't autolearn it.
> 
> By default, the "learning score" needs to be under 0.1 to autolearn as 
> nonspam. It needs to be above 12 to learn as spam (with at least 3 
> header-rule points and 3 body rule points).
> 
> See also:
> 
> http://spamassassin.apache.org/full/3.2.x/doc/Mail_SpamAssassin_Plugin_AutoLearnThreshold.html
> 
> Note: the "learning score" is the score the message would have gotten if:
>     1) bayes was disabled (includes scoreset change)
>     2) the awl doesn't count.
>     3) any rules with tflags learn or userconf (ie: white/blacklist 
> rules) don't count.
> 
> SA uses that score for deciding to autolearn or not to prevent 
> self-feedback on the learning systems, and to prevent a mistaken 
> whitelist_from from causing a lot of spam to autolearn as nonspam.
> 

Thanks Matt and all.

So I figure my configs are all okay then. Can I just leave things the way they 
are or you guys reckon I should be better off with some other additional steps ?

Many thanks.

--
Roger


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