Hi,
Our system does train Ham and I do train spam that gets through (where
possible).
I thought though that training say 5 emails as spam (assuming they were
all the same) won't necessarily change the Bayes confidence, is this not
correct?
Kate
Bowie Bailey wrote:
Alex Woick wrote:
BAYES_00 means that the bayes engine thinks the message is
definitely not spam. If this rule is hitting on spam messages, you
have a problem. Unless this is just a really hammy looking spam,
you may want to consider retraining your bayes database. And
regardless, you should always manually retrain bayes with any
messages that you catch being misclassified.
Generally, you should always train *all* messages that were not
trained already. Even mail that was classified correctly. This makes
the database definitely more stable than only training a few
misclassified messages.
The only mail you should omit is mail that was already auto-learned
correctly, bounces, backscatter and generally most of the
auto-generated stuff (DSN's, statistic reports, cron reports...)
For best results, you should manually train everything, but that is not
always practical. I try to manually train bayes for our main company
email addresses, but even with a low volume server, I frequently find
that I just don't have time to go through all of the messages.
I was just trying to point out that regardless of anything else you do,
you MUST manually train misclassified mail to keep bayes running well.
--
Kate Kleinschafer
Internet Services
GetRheel
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