How do we find the limits of resolution and the amount of error of the classifier...

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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 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) 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)