Question 3. Given the following training samples from two classes: Class 1: (1, 1)', (2, 2), (2, 0) Class 2: (0, 0), (1, 0), (0, 1) (1) Are the two classes linearly separable? (2) Use the Pseudoinverse Approach to find two linear decision boundaries by using the following two vectors for b. (1, 1, 1, 1, 1, 1 ), (1, 1, 1, 1, 1, 2 )', (You may use any tool to computer matrix inversion.) (3) Verify if the solutions from (2) can indeed classify the samples correctly