2. Let A+={(0,0)(1,1),(1,1),(1,1),(1,1)} and A={(1,0),(1,0),(0,1),(0,1)} represent the positive and negative training instances respectively. (a) Plot the decision boundary for the 1-nearest neighbor algorithm. (10%) (b) What is the training set accuracy and the confusion matrix for 3 -nearest neighbor algorithm? (10\%)