jdow wrote:
From: "Beast" <[EMAIL PROTECTED]>
Hi,
From some (spam) mail which not caught by SA, it seems that bayes is
not applied to this mail.
X-Spam-Report:
* 0.0 HTML_MESSAGE BODY: HTML included in message
* 1.7 SARE_SPEC_ROLEX Rolex watch spam
X-Spam-Status: No, score=1.7 required=5.2
tests=HTML_MESSAGE,SARE_SPEC_ROLEX
autolearn=no version=3.1.4
Is bayes check is not run for every mail?
It is not run if you have not yet learned from at least 200 each of
spam and ham messages. You do not learn form all messages because the
scores are "indicative" rather than "certain" with regards to estimating
ham or spam properties. If you collect a random bunch of 200 or more
ham messages and 200 or more known spam messages and manually train
with them via sa-learn you can get Bayes working sooner.
It actually has enough corpus learned. I was running this for more than
a year with manual tarined (daily tarined by human). Bayes was working
for most mail but not for all mails.
[EMAIL PROTECTED] ~]# spamassassin --lint -D 2>&1 | grep 'corpus size'
[12081] dbg: bayes: corpus size: nspam = 34035, nham = 7399
I will turn on auto leaarn mostly because I need to feed more HAM to SA
(so far I only feed ham for any false positive which is very low daily
and i think that is not good enough for SA)
--beast
