Do train those, which have a Bayesian probability close(r) to 0.5. Or
even worse, have a Bayesian probability contrary to the overall score,
or actual classification.
Training the plethora of spam hitting BAYES_99 might not be a mistake.
But it is pretty likely, to *not* improve general SA performance.
You're training Bayes. Not SpamAssassin.
On 27.04.13 07:37, Joe Acquisto-j4 wrote:
Very interesting. However, I don't see any BAYES_xx markings in the
headers at all.
I assumed that is because it is not scoring yet, due to low samples. Or
some other reason.
How do I find that number?
sa-learn --dump magic, of course.
You need at least 200 hams and 200 spams for BAYES to start firing.
At the begin, you can train ANY mail. Later, it's easier just to correct
mail with misfired score (ham not BAYES_00 and spam not BAYES_99)
--
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BSE = Mad Cow Desease ... BSA = Mad Software Producents Desease
