2008/2/17, comparity <[EMAIL PROTECTED]>:
>
>  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
>
Well, what makes you think that Bayes is missing anything? SA needs to
be updated to work properly. Do you use sa-update?

How about sharing an uncaught message with the list? Then we could
have a better idea of what is failing.



> --
>
>
> Mark Simon
>
> Comparity Net
>  Computer Training & Support
>
> Phone/Fax: 1300 726 000
>  mobile: 0411 246 672
>
> email: [EMAIL PROTECTED]
>  web: http://www.comparity.net
>
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Regards,


Luis
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