Is there a way to change this behavior?
It seems to me that a high bayes score also shows that it is spam
and it might be possible to grab a few new tokens from the spam
which you otherwise wouldn't get.

Jon.


On Friday 29 August 2003 12:22 pm, Tom Meunier wrote:
> Somebody already answered the syntax for modifying your scores in your
> local.cf, so...
>
> The auto-learn "bayes evaluator" doesn't take the Bayes scores into account
> when deciding whether to learn as spam or ham.  So you could have autolearn
> threshold set to 10, have your Bayes tests at 20 points, and get a 29-point
> spam come in, but not be sent through autolearn.
>
> > -----Original Message-----
> > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> > Sent: Friday, August 29, 2003 11:43 AM
> > To: [EMAIL PROTECTED]
> > Subject: [SAtalk] Changing Bayes scoring
> >
> >
> > Greetings,
> >
> > I'd like to increase the score for certain bayes
> > confidence levels.  My understanding is that I
> > need to put one (or more) of these lines from
> > /usr/locals/hare/spamassassin/23_bayes.cf:
> >
> >
> >         body BAYES_60           eval:check_bayes('0.60', '0.70')
> >         body BAYES_70           eval:check_bayes('0.70', '0.80')
> >         body BAYES_80           eval:check_bayes('0.80', '0.90')
> >         body BAYES_90           eval:check_bayes('0.90', '0.99')
> >         body BAYES_99           eval:check_bayes('0.99', '1.00')
> >
> > into /etc/mail/spamassassin/local.cf
> >
> > and in order to increase the scores from certain bayes confidence
> > levels, make edits, such as:
> >
> >         body BAYES_70           eval:check_bayes('0.70', '1.80')
> >         body BAYES_80           eval:check_bayes('0.80', '1.90')
> >         body BAYES_90           eval:check_bayes('0.90', '2.99')
> >         body BAYES_99           eval:check_bayes('0.99', '3.00')
> >
> > Or am I off the mark entirely?
> >
> > A good 80-90% of the spam that scores 4.3-4.9, while being all over
> > the place wrt other scores (i.e. some have bad mime, some have bad
> > html, some have bad times), they have bayes confidences of 70-99.
> > As well the few lists that I'm on seem to get 3.5 to 4.5-ish scores,
> > mostly for the bad html that comes from their MUA, yet have pretty
> > consistent bayes confidences around 20-50%.
> >
> > So, it seems to me that I should rely a bit more on bayes, as just
> > lowering the threshold will get a fair bit of ham.
> >
> > Yet, in doing so, does this feed back into the bayes evaluator?
> >
> > Cheers!
> > -sam
> >
> >
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