On Tue, 14 Nov 2023, joe a wrote:

Low volume home office user and system.

Occasionally when first dealing with a new entity, their correspondence gets flagged as SPAM.

When I whitelist these, what should be done with those messages that might remain in "flagged SPAM" or "Missed SPAM"?, thinking along lines of keeping BAYES "clean and sharp". So to speak.

Leave as is?  Delete and re learn?

For a low volume home office user, I would simply NOT autolearn. Set up a hambox and a spambox and manually feed them and train from them.


--
 John Hardin KA7OHZ                    http://www.impsec.org/~jhardin/
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