5. Suppose we have a data set with p = 2 dimensions for which each observation belongs to either the red class or the green class. You plan to use the Support Vector Machine method. Your classifier assigns an observation to the red class if (3-X1)2 + (2 + X2)2>9 and to the green class otherwise. a. Describe the nature of the decision boundary in the X1, X2 plane. b. In what enlarged feature space is the decision boundary specified by the classifier linear? Justify your response.