5. Using the following 2-D dataset (x1 and x2 are the attributes and y is the class variable), find the linear SVM classifier. Do your optimization using the dual problem. Namely, provide an explicit expression for the dual optimization problem, solve it (compute the values of the various ai's) and use the solution to compute the weights attached to the two attributes as well as the bias term. (10 Points) Dataset: | X1 X2 Y 1 0 + -1 2 - 0 -1 + 5. Using the following 2-D dataset (x1 and x2 are the attributes and y is the class variable), find the linear SVM classifier. Do your optimization using the dual problem. Namely, provide an explicit expression for the dual optimization problem, solve it (compute the values of the various ai's) and use the solution to compute the weights attached to the two attributes as well as the bias term. (10 Points) Dataset: | X1 X2 Y 1 0 + -1 2 - 0 -1 +