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How do we find the limits of resolution and the amount of error of the classifier in theory. There are two classes of incident

How do we find the limits of resolution and the amount of error of the classifier in theory. There are two classes of incident vectors {w1, w2} with normal distribution with the following parameters P(x|w1) --> N(2,0.5)(normal distribution) P(x|w2) --> N(1.5, 0.2)

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