I’m evaluating SpamSieve as a replacement for JunkMatcher; JM was doing wonderfully, but the lack of movement on the Python RegExp issue has forced me to look elsewhere.
I’ve got SS set up and it appears to be working wonderfully; I do have a few questions however:
I use Apple Mail.app and get mail from two sources: entourage (IMAP, apparently) and a POP account. If SS gives me a false positive, and I tell it to train as good, I’d like it to correctly move the mail back to the corresponding inbox, depending on the account used to retrieve the message in the first place. It’s not clear it can do this…
When I look at my statistics, I see an ever increasing number of messages filtered, but my corpus stats aren’t changing. Since I have SS set to learn from new messages, shouldn’t all that learning become part of the corpus?
is there any way to change the colors that SS uses to colorize spam? I find the colors very useful, but very non-obvious. Blue just doesn’t scream spam at me in the same way as red.
Can SS add a header to messages with it’s spam scoring? I’d very much like to be able to show all headers and see what the score a message received was.