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In [SpamAssassin] 2.x, the scores are assigned using a genetic algorithm (GA).  In [SpamAssassin] 3.x, the scores are assigned using a neural network trained with error backpropagation (\["Perceptron"\] learner).  Both systems attempt to optimise the efficiency of the rules which are run, while also minimising the number of false positives and false negatives. More information can be found on the 'Tests' page. Note that you can help this system by providing statistics on your mail spool.

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