1 kNN Classifiers (40pt) Given the following dataset: 1) (20 pts) Classify instance No. 9 using the kNN classifier with k=3. Use squared distance (i.e., Euclidean distance, L2 distance) as the distance measure between two instances. 2) (10 pts) Draw the decision boundary of kNN classifier with k=1. Only consider the instance NO. 1, 2, 6 in the table above as training data. 3) (10 pts) Explain at least two disadvantages of kNN classifiers