Consider the basis function (x)=w0+w1x1+w2x2+w3x12+w4x22 : with parameters w=w0,w1,w2,w3,w4=20,2,4,1,1. Here x1 and x2 are Finires. Derive the equation of the decision boundary g(x1,x2) for logistic y=1regresstom((x))1. Draw the decision boundary and predict the class labels [C0,C1] for the examples given by A(2,2),B(6,6) and C(5,5). [3+3=6M]