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4 Bayes Optimal Classifier (15 points) Suppose there are three hypothesis h2, . The posterior probabilities for different hypothesis are P (hi D) 0.2, P(h

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4 Bayes Optimal Classifier (15 points) Suppose there are three hypothesis h2, . The posterior probabilities for different hypothesis are P (hi D) 0.2, P(h 2 D)-03, P(hal D) =0.3. The set of possible classification of the new instance is V = {+,-). We also have P(-1h)=0, P(+1h)=1, Ph2)=1, Pl+ hs)-0, P( hs)=1 and P(Hhs)=0. What is the result from Bayes optimal classifier

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