Well... I just turned on autolearn for a moment, deleted the bayes_*
files on the test account I use, and sent myself a message from my usual
outside account. And new bayes_* files were created. So I was wrong, and
I win. More options.
So now I can proceed to the "what does this mean?" phase.
If I leave things as they are, then training is perfect if the users are
diligent. But if they are not, then... what? I see plenty of spams
getting through with a 0.0 score. IIRC, the autolearn spam threshold is
7? Pretty much everything there is spam.
But I'm not sure I quite buy having the static rules of SA training
Bayes. Isn't Bayes just learning to emulate the static rules, with all
their imperfections?
If it starts going wrong, doesn't that mean the errors are going to
spiral out of control?
Leaving autolearn off puts everything in the hands of the users. And
that's where I've left things for now.
Someone, please convince me that I should turn it on.
Should I turn it on and take my "train as ham" entry out of .forward? Or
should I not?
I suppose that largely depends upon my individual users' levels of
diligence.
-Steve
