I am using 2.55.  If the answer is different for 2.60, please answer with
respect to 2.60 as I will be upgrading *very* soon.

I am experimenting with Bayes in a site-wide/gateway configuration.  One
thing that I believe is affecting my tests is the external Procmail
whitelist.  I find the number of spams learned to the number of hams learned
extremely large.

What is the ratio of ham:spam or spam:ham (2:1, 3:1) that Bayes becomes
inneffective?  Does either ratio make a difference?  I am thinking in terms
of numbers of messages learned.  Should I be thinking differently?

Also, my local.cf has the following

  bayes_auto_learn_threshold_nonspam 6
  bayes_auto_learn_threshold_spam    8

Is this appropriate or did I misinterpret the Mail::SpamAssassin::Conf doc
incorrectly.

Thanks,
Larry



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