Suppose a hard margin linear SVM classifier has been trained on a linearly separable 2D data and a horizontal decision boundary WTX + b = 0 has been found that passes through the origin. Weight vector W has 3 elements w0, w1, w2 such that w0 + w1x1 + w2x2 = 0 Which set of values is a correct assignment to the weight vector to characterize the decision boundary of this SVM classifier? w0=1 w1=0 w2=-1 w0=0 w1=1 w2=-1 w0=1 w1=-1 w2=1 w0=0 w1=0 w2=1