Question: 4. Bayes Optimal Classifier Suppose there are four hypothesis (hi, he, h, he). The posterior probabiliti different hypothesis are P(h (D)-0.2, P(h|D)-0.3, P(h /D)-0.4, P(hlD)0

 4. Bayes Optimal Classifier Suppose there are four hypothesis (hi, he,

4. Bayes Optimal Classifier Suppose there are four hypothesis (hi, he, h, he). The posterior probabiliti different hypothesis are P(h (D)-0.2, P(h|D)-0.3, P(h /D)-0.4, P(hlD)0 set of possible classification of the new instance is V-(+,-). We also hav P P(thi)-1, P(-h2)-1,P(th:)-0, P(-h,)-1, P(+h)-0, Ph)-1 and P( is the resut from Bayes optimal classifier? +h4)-1. What

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