Justin Mason said:

> To examine how SpamAssassin is making its diagnosis, run with -D --
> this will print out debugging lines for each of the top tokens it
> uses to compute the overall result.

hmm, I should go into this in more detail:  you want to keep an eye out
for lines like:

debug: bayes token 'context' => 0.00175165431573987
debug: bayes token 'snip' => 0.00182260025758296
debug: bayes token 'merely' => 0.00189953565131873
debug: bayes token 'forest' => 0.00235725520178676
debug: bayes token 'horror' => 0.00276243104599416
debug: bayes token 'victory' => 0.00302216247655451
debug: bayes token 'filesystem' => 0.00349107827059925
debug: bayes token 'raid' => 0.00354609917849302

the number on the right is key.  The more of those you have near 0.0, the
lower the bayes score will be -- ie. the more non-spammy.  The more near
1.0, the higher it will be.

Tokens prefixed with "H:" are mined from the headers.

--j.


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