[Mimedefang] summary of site-wide bayes with SA 2.5 and MD?
David F. Skoll
dfs at roaringpenguin.com
Thu Feb 27 11:47:01 EST 2003
Jason Englander wrote:
> From then on it should use autolearn to build the bayes db. (SA score
> of -2 or less = ham, SA score of 15 or more = spam)
What is the theoretical basis to justify auto-learning? I do not think
it makes sense. SA already "correctly" categorizes the mail, so there's
no point in modifying the Bayes statistics. And on the odd chance
that an outlying e-mail is accidentally misclassified, you pollute
your statistical pool, and make SA more likely to misclassify such
e-mail in the future.
The whole point of learning is that you teach the discriminator
the "absolute truth" as decided by a human being. Auto-learning,
in my opinion, violates that important principle.
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