. For the same data points used in the above question, class1)2 class 2oto 1) assuming you are given the support vectors (from the answers of question 3), find the support vector machine (SVM) to separate the two classes by computing the kernels and solving the constraint equations. 2) Using the derived SVM to classify a new instance (0, 2) to be in class 1 or class 2. . For the same data points used in the above question, class1)2 class 2oto 1) assuming you are given the support vectors (from the answers of question 3), find the support vector machine (SVM) to separate the two classes by computing the kernels and solving the constraint equations. 2) Using the derived SVM to classify a new instance (0, 2) to be in class 1 or class 2