I have trained the forwarded message as ham, and fed it to sb_filter.py afterwards. It is still classified as spam! Does this mean that looks like ham, but looks much more like spam? Is there a way to have this false positive being classified as ham?
More useful than the message itself would be the clues that it generates with your database. You can get these via the web interface (the classify message box). You should be able to see why it's being classified as spam (i.e. which tokens are making the difference), but you can post them here, too, and someone is bound to comment. It would also help to know how much data you have fed to spambayes - note that it works best with roughly equal numbers of ham and spam, so if this isn't the case, then that might be the problem. =Tony Meyer