4. Bayes Optimal Classifier (20 points) Suppose there are four hypothesis {h1, h2, h3, h4}. The posterior probabilities for different hypothesis are P(h1D)=0.25, P(h2D)=0.3, P(h3|D)=0.4, P(h4|D)=0.05. The set of possible classification of the new instance is V={+,-). We also have PC- hl)=0, P(+1h1)=1, PC- h2)=1, P(+h2)=0, P(-1h3)=1, P(+h3)=0, P(-1h4)=1 and P(+|h4)=0. What is the result from Bayes optimal classifier