I'm about to start training sa with spam and ham. Is it a good or bad idea to use spam which has already been detected by sa's non-trained tests, or is that a waste of time? Should I only train it with spam which is currently managing to slip through?
With bayes, the best policy is "as close to reality as possible". So train emails that are detected, as well as false-negatives.
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