nnalgorithm

num = len(X_train) # Compute the number of points in X_train
distance = np.zeros(num) # Initialize an arrays of zeros
for i in range(num):
    distance[i] = dist(X_train[i], X_test) # Compute distance from X_train[i] to X_test
min_index = np.argmin(distance) # Get the index with smallest distance
print(Y_train[min_index])
3