Thanks for the rapid response, Michael. Obviously you make a point of being a presence on your forums. I wish all developers were so conscientious!
You surprised me with your reply, though. While I figured you (or someone) would confirm the basic concept I was asking about, I have been training it with all messages, because I assumed that if it wasn’t set to train automatically, then I needed to manually say, “Yes, indeedy, all this spammy messages in the Spam Folder are indeed spam.”
So let me do some more confirming …
I should only “Train as Spam” when I’ve got spam that SpamSieve failed to move to my spam folder?
I should only “Train as Good” when I’ve got good mail that SpamSieve incorrectly moved to the spam folder?
Shouldn’t I “Train as Good” to improve the ratio of good mail to spam in my corpus? Right now my corpus only has about 14% good mail to work with, but it will take quite a long time to increase that if I only “Train as Good” when I get a false negative!
Given that I was training one way or the other with every message … um, should I start over?
That’s a lot of questions, but hopefully easy to answer! Thanks again.