Question 6. Support Vector Machines [9 points] For a linear support vector machine (SVM) classifier with (w,b) as the model parameters, a training record (x(i),y(i)) is termed a support vector if it satisfies the following equality: y(i)(wx(i)+b)=1i,wherei0. The presented diagram in Figure 2, depicts a linear Support Vector Machine (SVM) classifier trained on a two-dimensional dataset D1, consisting of ten data points, five of which are positive points (P1 to P5), and the remaining five are negative points ( N1 to N5). Figure 2: Classification Data set A a) [3 points] Please list at least 3 support vectors for this SVM classifier. changed from data set D1 to data set D2.) Figure 3: Classification Data set B (new positive and negative points shown in bold) explain. explain