Computer Science 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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Computer Science
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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