Question 6 (Extra Credit 10 points). In each of the classification scenarios listed below, you are given a set of classifiers and a description of the classification scenario. For each scenario, state the choice of the classifier that is best suited for the dataset along with a brief explanation supporting your answer. (a) Many of the attributes are irrelevant (contain no information about the class). Classifiers available: KNN, ANN, Decision Trees. (b) Dataset contains attributes that are not discriminative by themselves, but are discriminative in combination. Classifiers available: KNN, Nave Bayes, Decision Trees (taking single attribute at a time in a tree node)