In this problem, you will use the Perceptron training rule to learn a separating line for the following six data points: 11 1 22 6 class -1 3 3 -3 3 -4 2 -5 -1 +1 -1 +1 +1 -2 5 0 Assume that we have two features Xi and x2 and we initialize the weights to wi = W2 = 0. Let f(x) be given by the following function f(x) sgn(W121 + W2X2 + woxo) where xo is the bias term. = O [5 points] Assume that the bias term (woxo) is always equal to 0. Apply the perceptron algorithm with a learning rate of 1 to the data in the order it is given in the table. Give the final weight vector you arrive at and state whether or not it is consistent with the data