This is a short answer, give points and results.

Given the following observations: x1=(3,4); x2=(5,12); x3=(8,15) in R2, what would the Euclidean (l2) norm of each Xj feature vector be in R3? Assuming the following labeling: y1 = 0; y2 = 0; y3 = 1 for the data, what kNN (K = 2) nearest-neighbor label would be given to an out-of-sample point x0 = (0,0)?