![]() Since there is only one of these messages, I think it’s too early to draw any conclusions about how to prevent this in the future. It adapts to the mail that you receive to get even better with time. Have you ever wanted to process the spam score of incoming or outgoing. ![]() Powerful Bayesian spam filtering results in high accuracy and almost no false positives. 95/year, Windows operating systems), and SpamSieve (from, Mac operating systems). However, I think it would probably be a good idea to add these emails to SpamSieve’s corpus, then move them to the trash. In the past, I’ve written a rule in Apple Mail to immediately move such emails to the trash. It looked at the spam message and thought it was good. SpamSieve for macOS works with any number of mail accounts, of whatever types are supported by your e-mail software (e.g. 1 Certain types of email I receive are guaranteed spam. It’s not clear to me whether you mistakenly trained this message as spam or whether the spammer was using the address one of your friends.ġ of them was a case where SpamSieve simply made a mistake. Lo Spam score è il punteggio che i filtri antispam degli ISP assegnano a una mail per valutarne l’affidabilità. Although it is showing the spam changing to blue hilight color in my inbox, it is no longer automatically moving it to the spam folder as usual. I have been using SS for many years, so there is a lot of training that has been working fine until now. If the messages were marked as spam in your inbox but not automatically moved to the Spam mailbox, please see this page.ġ of them SpamSieve classified as good because the sender was in your address book. I just upgraded to BS 11.0.1 and using SS 2.9.40. ![]() It is not necessary or recommended to train as spam messages that were already caught. ![]() Looking at the July messages:Ĩ of them were messages that SpamSieve had already processed and thought were spam. Looking at the log, I see that you trained 4 messages as spam in May, 1 in June, and 11 in July. The SpamSieve Score column shows how spammy SpamSieve thought each message was, on a scale from 0 to 100 (with 50 and above meaning spam). The bayesian classifier can only score new messages after it already learn 200 known spams and 200 known hams. Please let me know if you received my eMail reply. SpamSieve will process new mail automatically. ![]()
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