Question 3 3 pts Is the following statement True or False? Naive Bayes is an example of a class of modeling technique where we try and learn the conditional probability distribution between classes to find a linear or non-linear separation boundary between the two classes. Thus like linear regression or decision trees it will find the linearly separable hyperplane between the classes in n-dimension. True False Question 4 10 pts Suppose there are 2 bayesian belief networks: (a) A -> B -> C & (b) A - B -> C Which of the following is correct? Hint: You will have to think carefully and read sections 6.11 and understand the bayes rule simplification to answer this correctly. P(A,B,C) = P(A)P(BIA)P(C) for a and P(A,B,C) = P(B)P(B|A)P(BIC) for b P(A,B,C) = P(A)P(BIA)P(C|B) for both a and b O P(A,B,C) = P(A)P(B)P(C) for both a and b O P(A,B,C) = P(A)P(B|A)P(C) for a and P(A,B,C) = P(B)P(A/B)P(C|B) for b