Question: 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

 4. Bayes Optimal Classifier (20 points) Suppose there are four hypothesis

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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