> How Can I pre-filter the training web page? I get a lot of email from
> mailing lists that have a
> very low instance of SPAM and I would like to ignore them. Is there a way
> I can have
> spambayes toss them so I can concentrate on the rest of the mail without
> having to sift
> through the mailing lists? Is the only way to do this is to directly
> filter the data base? If so
> what files do I need to touch with a bash script?
You didin't say how your mail is set up. I'll tell you how I solved it.
In my .procmailrc I move email from trusted mailing lists to separate
folders BEFORE the SpamBayes filtering kicks in, like this:
### These emails are not filtered by SpamBayes
## Mailing lists
# Pandora User Base mailing lists
:0
* ^List-Id:[^<]+<\/[^.]+\.pub\.telenet\.be
{
:0:
* MATCH ?? ^\/[^.]+
.pub.${MATCH}/
}
# PUB, not from mailing list
:0
* ^From:.*pub\.telenet\.be
.pub/
:0:
* ^Subject:.*\[smokeping
.smokeping/
:0:
* ^List-id: campagne\.duimenvoorjongeren\.be
.duimenvoorjongeren/
## Logs
:0:
* ^From: logcheck
.log.logcheck/
:0:
* ^Subject:.*\[SmokeAlert
.log.smokealert/
:0:
* ^Subject:.*\[SNORT
.log.snort/
:0:
* ^Subject: Cron
.log.cron/
### SpamBayes filtering starts here
:0 fw:hamlock
| sb_filter.py
# Messages that are so obviously spam that we should not train on them
:0
* ^X-SpamBayes-Classification: spam; 1.00
.ztrain.obvious-spam/
# Messages that are spam but we might want to train on them
:0
* ^X-SpamBayes-Classification: spam
.ztrain.spam/
# Unsure messages must be copied to the unsure folder for training
:0 c
* ^X-SpamBayes-Classification: unsure
.ztrain.unsure/
# Ham that doesn't score 0.00 is eligible for training as well
:0 c
* ^X-SpamBayes-Classification: ham; 0.0[2-9]
.ztrain.ham/
:0 c
* ^X-SpamBayes-Classification: ham; 0.1[0-9]
.ztrain.ham/
### These mailing lists are filtered by SpamBayes
# Spambayes mailing list
:0:
* ^List-Id:.*spambayes\.python\.org
.spambayes/
:0:
* ^Subject:.*\[Spambayes\]
.spambayes/
Hope this helps,
--
Amedee Van Gasse
[EMAIL PROTECTED]
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