Just wanted to mention that I'd been trying to clean up a polluted ham corpus by using 'forget', but I continued to get poor results. Long story short, I cleaned up my ham, and removed both ham, and spam that had spambouncer headers - which I assume sa-learn did not remove? (not that I would expect it to), deleted bayes database, and retrained.
you can use SA's bayes_ignore_header config option to cause it to ignore whatever headers you want..
i.e.: bayes_ignore_header X-EVI-MailScanner
it won't remove them per-se, but it won't try to tokenize them for learning.
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