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  1. Combining four experts about a label ●●○○○ 20 ptsFour independent experts have probabilities p1=0.8p_1=0.8, p2=0.7p_2=0.7, p3=0.6p_3=0.6 and p4=0.5p_4=0.5 of being correct about a binary label L∈{+1,−1}L\in\{+1,-1\}, with a uniform prior on LL. Expert 1 reports L1=−1L_1=-1, expert 2 reports L2=+1L_2=+1 and expert 3 reports L3=+1L_3=+1 (expert 4's report is not given). Using the classifier C(S)=∑iLi2log⁡(pi1−pi)C(S)=\sum_i \frac{L_i}{2}\log\left(\frac{p_i}{1-p_i}\right), find Pr⁡(L=+1∣S)\Pr(L=+1\mid S). Round to two decimal places.