python import math

def euclidean_distance: distance = 0 for i in range): distance += pow, 2) return math.sqrt

def knnclassification: distances = for i in range): dist = euclideandistance distances.append) distances.sort neighbors = distances classvotes = {} for neighbor in neighbors: response = neighbor if response in classvotes: classvotes += 1 else: classvotes = 1 sortedvotes = sorted, key=lambda x: x, reverse=True) return sortedvotes

X1 = X2 = Y =

Xtrain = ytrain = Y X_test = k = 3

predictedclass = knnclassification print