I have a corpus that was started on SpamSieve v2, and I notice that there are a lot of spam messages in “good” that I can’t do anything about - so I’m starting over, and I want to set this up the most efficient way possible. I’m reading this in the app’s help:
Normally, the [Train SpamSieve allowlist] settings are enabled. This means that training a single message as good will make SpamSieve classify all future messages from that message’s sender as good. Likewise, training a message as spam will make SpamSieve classify all future messages from that message’s sender as spam. Normally, the [Train Bayesian classifier] preference is also enabled, which will let SpamSieve learn from the message’s contents so that it can recognize future messages that are similar even if the sender is different.
So let’s say I have a contact form that always comes from contactform@domain.com. I want the CONTENTS to be scanned, with good messages routed to me, and bad messages routed to spam.
Am I seeing correctly that if I train it as good that’s going to whitelist my entire contact form, but if I train it as spam it will always route it to spam?
How do I tell SpamSieve that, for a given sender, I ONLY want the Bayesian classifier running? Do I have to completely disable the “train allowlist” features?