JM>>  Why does the Bayesit plugin not work very well? It will pick up
JM>>  an occasional spam but misses most. It will still fall for the
JM>>  same messages even after I mark them as spam. ????


M3> Spammers have gotten "hip" to how Bayesian filtering works and have
M3> devised ways to get around it by filling the message with random words
M3> and the like, so that no two messages are the same ... just as they
M3> were able to get around "name" filtering by creating fictitious
M3> addresses that were always different.

M3> It is a constant struggle.  We find a new "tool", then "they" find a
M3> way around it <sigh>

M3> Bayesian filtering still works, just not as effectively against the
M3> rabbid spammer who only seems to care about getting a nonsense message
M3> into your inbox ... as opposed to the commercial spammer who does want
M3> you to buy something (what are they thinking? <shrug> )


That's a factor, but I found BayesIt just didn't work for me.  It
seems to work for some here, though.

K9 is a Bayesian filter, too, and it's operating at 98.6% accuracy for
me.  BayesIt was less than 1% accurate after training for more than a
month with hundreds of good and spam messages.

-- 
Code 2  :canadaflag:  mailto:[EMAIL PROTECTED]
The Bat! version 2.12.00 on Windows XP Service Pack 2
On a New York convalescent home: For the sick and tired of the Episcopal Church



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