Perhaps what I need to do is to get rid of autolearn and write my own learning system that strips out the body of messages with images and just learns the headers. My problem is that when users get image spam they put it in the spam folders and they get learned. But the text in the image spam causes ham type text to be learned as spam. That causes ham to get higher scores.

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