On 06-Mar-22 20:25, Felipe Gasper wrote:
On Mar 6, 2022, at 20:11, Ricardo Signes<perl.test...@rjbs.manxome.org> wrote: On Thu, Mar 3, 2022, at 09:48, Felipe Gasper wrote:1.0 BAYES_999 BODY: Bayes spam probability is 99.9 to 100% [score: 1.0000] 5.0 BAYES_99 BODY: Bayes spam probability is 99 to 100% [score: 1.0000]These relate to your training of SpamAssassin. I don't know how you or your provider is training your Bayes db, but you're getting six points from that.It’s a cPanel server. Maybe the `nbsp` in there--useless in a plain-text email?--is the culprit. (Bayes, from what I’ve read, takes into account misspelled words.)3.3 EXCUSE_REMOVE BODY: Talks about how to be removed from mailingsThis is, I think, a bit higher than the default value for this, but not much higher. I think that's too high, but perhaps replacing this with "to unsubscribe" would help. (Again, though, your personal Bayes is the likely problem here.)The list-help, list-unsubscribe, etc. headers would probably be a good addition here?0.9 PP_MIME_FAKE_ASCII_TEXT BODY: MIME text/plain claims to be ASCII but isn'tThe email does not have a Content-Type header. It should have one, probably "text/plain; charset=utf-8"Agreed. -F
The simplest solution would be to feed these reports into the bayes filter. sa-learn is the utility for that.
E.g. file them in a folder, and do something like sa-learn --ham --mbox ham_folderI keep training folders for spam, ham, and forget & have a daily cron job to keep the filter up-to-date.
sa-learn has a bunch of options for tuning its behavior, which man will turn up.
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