Output 0 Inputs A B 0 0 0 1 1 0 1 1 1 1 0 This function is linearly separable Select one: : True False Consider following Bayesian network with Boolean variables B D E F Which variable(s) will be conditionally independent of H given A and B? Select one: O A. All of the above B. C O C. E D. D E. None of the above Which of the following is not included in supervised learning methods Select one: A. KNN B. Naive Bayes C. Decision Trees D. Linear Regression E. K means O F. A & B G. A & E H. A & D I. D & E Which statement is not correct for Naive bayes classification Select one: A. all variables are statistically independent of each another given the output variable B. all variables are statistically dependent of each another given the output variable C. all variables are equally important O D. variables can be nominal or numeric O E. All of the above Exams result "pass" or "Fails are determined using three inputs; "greater than 50% attendance", "Daily More than 10 hours internet use" and "sleeps more than 7 hours daily". All variables are Boolean. Greater than Daily More sleeps more 50% than 10 hours than 7 hours Pass attendance internet use daily 1 0 1 1 1 1 1 1 0 1 1 0 1 1 0 0 1 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 According to the nave Bayes classifier, what is probability of a student to pass if he has greater than 50 % attendance, he spends more than 10 hours on internet and he sleeps less than 7 hours in a day