Train
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To train the Bayesian analyzer, you should have good e-mail, and spam e-mail. You should have at least 100 of each. If you do not have 100 of each, we recommend that you wait until you do.
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If you do not have any good mail, then make sure you have turned on 'Score and store non-spam messages'
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Choose only the accounts for which you have categorized the e-mail as spam and good. The spam messages should have a red dot next to them, and the good messages should have a green dot next to them. Spam Sleuth will do most of the work automatically, but you need to correct any mistakes it may have made before training.
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Begin Training starts the training. If you have trained on some e-mails already, then any new e-mails will be added to the dictionary.
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Reset Training will erase all the training. We recommend you do this if you have bad training.
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The % Trained will always show 0% when you enter. The % trained will change as it trains.
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