9. Consider a perceptron with the following weight vector at iteration t: W = (1.5, 2.0,-5) a. How does this perceptron classify the point (1, -2, -2)? b. If the true label of a point (2, 3, 2) is +1, and W7 inaccurately classifies it as -1, what will be W1+1, assuming the learning rate to be 0.1