On Fri, 29 Jan 2010 08:26:44 +0100
"[email protected]" <[email protected]> wrote:

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> On 29/01/2010 02:05, Stevan Bajić wrote:
> > On Thu, 28 Jan 2010 14:07:31 +0100
> > "[email protected]" <[email protected]> wrote:
> >
> >> yes, if email total score is above  a fixed threshold,  AND dspam
> >> doesnt agree with this, then email is retrained into dspam.
> >> It's the same mechanism than SA autolearn  and, AFAIK, plugin crm114
> >> use this to retrain crm.
> >>
> >> I know that will be introduce some possible mistakes, but i think
> >> balance between good and right will be ok.
> >> What's your opinion on this ? should i try to do this, or it's better
> >> to let DSPAM learn by himself and manually retrain it on error ?
> >>
> > This all depends on your needs. Do your users train DSPAM, CRM114
> and/or SA?
> >
> > Or to put it the other way around: If you trust so much SA then why use
> CRM114 and DSPAM at all? What is the point? SA has a bayes engine it
> self so there is no much benefit in using DSPAM and/or CRM114 (with it's
> default setup/configuration).
> >
> > Why do you use 3 Anti-Spam engines when each of them depend on each
> other and one of them can drag the accuracy of all the others down? What
> is the reason that you use a heuristic engine like SA and two
> statistical like CRM114 and DSPAM?
> >
> > Could you write a little bit about how your users are using the
> Anti-Spam system? Do they train the engine? Are they able/allowed to
> train? Does every user has his own data set or do they all share the
> same data for ham/spam? What MTA do you use?
> >
> our users are able to train dspam, crm114 and SA.
> They share the same dateset.
> We use postfix as global MTA, but we dont use it to retraining. (no
> special alias)
> In order to retrain FP, our customers can move email into 2 imap
> folders in their mailbox, one for spam learning, the other for ham
> learning.
> it feeds 2 special folders on one centralized server from which we can
> apply learning scripts.
> This script do sa-learn for SA and for DSPAM, it checks email headers
> and if dspam is not agree with classification, email is retrained with
> command:
> /usr/bin/dspam --client --user amavis --class=spam --source=error  (or
> class=ham of course)
> 
> This retraining increase greatly accuracy of the 3 engines.
> 
What IMAP/POP server are you using?


> Autolearning is more tricky because it will massively rely on
> heuristics engine (main scoring) to adjusts statistical engine (SA
> bayes, CRM) on the fly.
> But i'm agree with you, what's the point to  use the 3 statisticals
> engine this way.
> For SA, it's OK, but for CRM114 and DSPAM, I'm wonder if it's really
> clever.
> 
> So I think i will let DSPAM do his job, and continue use his scoring
> to balance the others.
> It's the way it works actually, and I'm really satisfied: accuracy is
> great and FP are very low.
> 
> And may be I will do the same with CRM114.
> 
> So I will give it a try to dspam plugin at
> http://eric.lubow.org/projects/dspam-spamassassin-plugin/  because, if
> i'm understand correctly, it can be used to balance scoring more
> precisely.
> 
> Thanks for your help on this
> Regards,
> Tonio
> 
> 
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