Question 7: Comparing algorithms (9 Points) Consider some n-sample, three-feature dataset X= Suppose we want to use a classifier to learn the mapping f. X->Y. For each of the following modeling techniques, state whether it contains sufficient information to estimate the joint probability PTY, X1, X2, X3). Explain your answer briefly. 1. (3 Points) Naive Bayes 2. (3 Points) Logistic Regression 3. (3 Points) Perceptron (with Tanh activation)