On Wed, 2005-06-08 at 14:35 +0200, guenther wrote:
> The Junk filtering of Evo uses the well known and very good SA to flag
> the mails. SA should identify most SPAMs out the box. However, results
> get better, once the Bayesian classifier kicks in, which by default
> needs to learn 200 messages each SPAM and HAM (non-Junk). So train
> your
> Bayes good... ;)
> 
> ...guenther

Another good explanation, guenther.  I always wondered what engine evo
used for its spam filter.  That amount of training would explain why I
see the same HAM marked as spam again and again.  I'm thinking, why is
evo just not getting it that this sender is good?  Now, I have some
insight that it doesn't just store any given address as "not junk" it
filters with more complexity than that.  

So, that raises the question: How can I create a "whitelist" of senders
so not to wait a long time for the bayesian filtering to kick in? 

Gavin.

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