Question: See the question below: From the Bayesian network and the given CPDs, compute the probability of spring (without further evidence). (2 decimals is sufficient) QUESTION

See the question below:

See the question below: From the Bayesian network and the given CPDs,compute the probability of spring (without further evidence). (2 decimals is sufficient)QUESTION 2 Compute the probability that it is summer, given that the

From the Bayesian network and the given CPDs, compute the probability of spring (without further evidence). (2 decimals is sufficient) QUESTION 2 Compute the probability that it is summer, given that the fish caught is sea bass. (two decimals is sufficient) QUESTION 3 Compute the probability that the fish is thin (without further evidence). (two decimals is sufficient)Compute the probability that the fish is medium, given that it is thin. (two decimals is sufficient).Description Consider the Bayesian network in Figure 1 and the conditional probabilities in the tables below. The network describes the kind of sh caught in a particular area, over the different seasons. The variables X1, X2, X3, and X4 represent the season, the kind of sh, the lightness (colour) of the sh, and its thickness, respectively. Using this information, answer the 4 questions on VUWS. Figure 1: Bayesian Network for sh caught in a particular area p(:c1 = autumn) p(w1 2 winter) p(:c1 2 spring) p(:c1 2 summer) 0.25 0.25 0.25 0.25 p(:c2 = salmon) p(a:2 2 sea bass) autumn 0.8 0.2 winter 0.9 0.1 spring 0.3 0.7 summer 0.4 0.6 332 10(504 2 wide) 33(504 2 thin) p(:c3 2 light) p(933 2 medium) p(933 2 dark) salmon 0.4 0.6 sea bass 0.8 0.1 0.1 sea bass 0.95 0.05

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