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4. Bayes Optimal Classifier (20 points) Suppose there are four hypothesis (hi, ha, hs, hu). The posterior probabilities for different hypothesis are P(hilD)-0.25, P(h2lD)-0.3, P(h

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4. Bayes Optimal Classifier (20 points) Suppose there are four hypothesis (hi, ha, hs, hu). The posterior probabilities for different hypothesis are P(hilD)-0.25, P(h2lD)-0.3, P(h |D)-0.4, P(huD)-0.05. The set of possible classification of the new instance is V-(t-). We also have P(- P(+Iha)-o, what is the result from Bayes optimal classifier

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