Question: 4. Bayes Classifier-I. Suppose that Y = {0,1} and P(Y = 1) = 1/2. The distribution of X Y = 0 is discrete and is

4. Bayes Classifier-I. Suppose that Y = {0,1} and

4. Bayes Classifier-I. Suppose that Y = {0,1} and P(Y = 1) = 1/2. The distribution of X Y = 0 is discrete and is specified by P(X = 1 Y = 0) = 1/3 P(X = 2 Y = 0) = 2/3. The distribution of X Y = 1 is discrete and is given by P(X = 2 Y = 1) = 1/3 P(X = 3|Y = 1) = 2/3. Find the Bayes Classifier (also called as Bayes optimal classification rule). 4. Bayes Classifier-I. Suppose that Y = {0,1} and P(Y = 1) = 1/2. The distribution of X Y = 0 is discrete and is specified by P(X = 1 Y = 0) = 1/3 P(X = 2 Y = 0) = 2/3. The distribution of X Y = 1 is discrete and is given by P(X = 2 Y = 1) = 1/3 P(X = 3|Y = 1) = 2/3. Find the Bayes Classifier (also called as Bayes optimal classification rule)

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