Question 2. Support Vector Machine Suppose we are using a linear SVM on the dataset showing below: 3 - X2 No + + + 1 - 1 2. 3 5 X1 For each of the following cases, draw the decision boundary of linear SVM, indicate the support vectors, and justify your answers in a few sentences: a) The whole dataset is used as the training set, [5 marks] b) The data ((2, 2), +) is excluded from the whole training set, [5 marks] c) The data ((4,3), -) is excluded from the whole training set. [5 marks]