ail to match a BAYES_*
rule that scores under -1.0 (ie: don't learn as spam that which current
training strongly thinks is nonspam)
total learning score > autolearn threshold.
So no matter how high a message scores, if one of the first 3 criteria
aren't met it won't autolearn.
On Mon, November 13, 2006 18:01, Dennis Clark wrote:
> Some messages are autolearn=spam at 24 points, others are autolearn=no at 32
> points. What is the criteria that triggers autolearn=spam if not points?
tflag noautolearn
grep the rules that scores for it
and yes scores is olso part of when
to-learned."
Cheers,
Phil
--Phil
RandalNetwork EngineerHerefordshire CouncilHereford, UK
From: Dennis Clark [mailto:[EMAIL PROTECTED] Sent: 13
November 2006 17:02To:
users@spamassassin.apache.orgSubject: Autolearn
threshold
Some messages are autolearn=spam at 24 poi
Some messages are autolearn=spam at 24 points, others are autolearn=no at 32 points. What is the criteria that triggers autolearn=spam if not points?
** Dennis Clark* Information Technology Manager* Financial Aid Director
Kris, thanks for your help and insight. From what I can see, the settings
are in PerMsgStatus.pm, line 308/309 (my version of course).
my $required_body_points = 3;
my $required_head_points = 3;
I'll try changing those around, and update my status to this list in a while.
Again, thanks!
[EMAIL PROTECTED] wrote:
> I'm sure that's the problem. Here's a different sample spam, minus
> the bayes score (which isn't counted on the autolearn body tests,
> correct?)
Correct. But keep in mind that the autolearn process actually uses
different scores.
> 2.2 RCVD_HELO_IP_MISMATCH Receive
> As your only email access?
pretty much, yes.
> Try several thousand, as a number of customers have reported to
> me...
oh, I've been there - I'm just trying to avoid going there again. :)
> Mmm. Dangerous - I've seen FPs get autolearned as spam once or twice.
> :(
I realize that. With my s
[EMAIL PROTECTED] wrote:
> My problem is this: I'm using squirrelmail,
As your only email access?
> and to keep an eye on false negatives (I define those as real mails
> that get shuttled to spam, just to keep things clear) I have a 'spam'
> folder. As anyone that uses sqmail knows, it gets very
Hello all,
Let me start out by saying I've been searching for a couple of days on the
web on this subject but to no avail, so I would appreciate any help.
I have been using SA for more than a year and right now I'm running 3.0.1
on linux (bayes corpus size: nspam = 19482, nham = 3249). My filter
b
