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Assume that we want to build a Bayes classifier that uses as predictor feature xA. (i) If the standard deviations of P(xA | ) and

Assume that we want to build a Bayes classifier that uses as predictor feature xA. (i) If the standard deviations of P(xA | ) and P(xA | ) are equal, how would a sample such that xA = -0.5 be classified?

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