Estimate the conditional probabilities for P(A=1 l+), P(A=1 l-), P(B=1 l+), P(B=1 l-), P(C=1 l+), and P(C=1 l-) B. Use the estimate of conditional probabilities given in the previous question to predict the class label for test samples (A=1, B=1, C=1) and (A=0, B=1, C=1) using the naive Bayes approach. C. Compare P(A=0), P(B= 1), and P(A=0,B= 1). State the relationships between A and B D. Repeat the analysis in part (c) using P(A =l), P(B = 1), and P(A= 1,B= 1) E. Compare P(A=1,B=0| Class=+ ) against P(A=1|Class=+) and P(B=0|Class=+). Are the variables conditionally independent given the class?