A K$-$Nearest Neighbors $($KNN$)$ classifier assigns a test instance of the

majority class associated with its K nearest training instances is as shown

in FIGURE Q$5.$ Distance between instances is measured using Euclidean

distance. Suppose we have the following training set of positive $(+)$ and

negative $(-)$ instances and a single test instance $($O$).$ All instances are

projected onto a vector space of two dimensions $($X and Y$).$