Your bayes_auto_learn_threshold_nonspam should be a LOT lower than 6.

If you've actually been learning emails which score 5.9 as non-spam then
you've most likely poisoned your bayes database, especially with 2.55 as
many spams are now being proliferated to deliberately score less than 5
with SA2.55 - you should probably clear out your current db and re-run
sa-learn on your spam/ham corpus.

Additionally bayes_auto_learn_threshold_spam is set rather low (at 8) -
you might learn non-spam as ham, giving you further glitches.

The defaults (0.01 for nonspam and 12 for spam) are not arbitrary
values, but values that have been found to generally work well in many
different areas, I wouldn't bother trying to tweak them unless you find
you have a problem.

Remember: If it's not broken, don't fix it.

-----Original Message-----
From: Larry Gilson [mailto:[EMAIL PROTECTED] 
Sent: 28 October 2003 20:20
To: [EMAIL PROTECTED]
Subject: [SAtalk] Bayes spam-ham or ham-spam ratios


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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