Must be handwritten, no coding.

Problem 2) A dataset was used to train a perceptron. The data samples, the trained perceptron classifier, and the perceptron architecture are shown in the figure below. Answer the following questions: a) Calculate and show the confusion matrix. NOTE: Detecting class 1 is more "important." b) Calculate and report accuracy, sensitivity, and specificity. c) Calculate and report the perceptron classifier values of wo, wl, and w2. d) For the new data samples (2, -1), (-0.5, 0.5), calculate and report the local field (v), perceptron output (y), and classification label. Xz Class o + Class 1 3 Summing function Activation function Wo W. .) = () Local field W2 1.5 Class 1