Bayes: What am I missing

[comparity]

I have found that in the last few months a lot of mail has been coming through. I believe that the bayes filter isn't working. None of the caught messages include a bayes score. I have dutifully put all of my uncaught spam into a folder for the purposes of learning, and run sa-learn from time to time. Below is some information which may be relevant: I am running spamassassin through procmail SpamAssassin version 3.2.4 spamassassin -D bayes< ... indicates a bayes score local.cf:     use_bayes               1     bayes_auto_learn              1     # From http://wiki.apache.org/spamassassin/SiteWideBayesSetup     bayes_path /etc/mail/spamassassin/bayes     bayes_file_mode 0770 sa-learn --dump magic     0.000          0          3          0  non-token data: bayes db version     0.000          0      14225          0  non-token data: nspam     0.000          0       9037          0  non-token data: nham     0.000          0     168352          0  non-token data: ntokens     0.000          0 1161931609          0  non-token data: oldest atime     0.000          0 1203213840          0  non-token data: newest atime     0.000          0 1203212640          0  non-token data: last journal sync atime     0.000          0 1203212721          0  non-token data: last expiry atime     0.000          0   11059200          0  non-token data: last expire atime delta     0.000          0      77173          0  non-token data: last expire reduction count I have recently (a few months ago ...) cleared out the contents of the uncaught spam folders, reasoning that sa should have learned what it needs already. However, these folders now have hundreds of new spam to learn from. Any ideas? Mark -- Mark Simon Comparity Net Computer Training & Support Phone/Fax: 1300 726 000 mobile: 0411 246 672 email: [EMAIL PROTECTED] web: http://www.comparity.net Resume: http://mark.manngo.net Calendar: http://www.comparity.net/calendar.php