Exercise 1: List the Nine_neighbors your code here Nine_balance<-arrange(names, income)[
Exercise 2 Use knn function in class package and predict labels in the test data with knn when k=5. Use set.seed(4230) and name the p Exercise 3: knn results when k=10 your code here
Exercise 4: Performance measure your code here 0
Exercise 5: Write a function to find the optimal k (the k value which minimizes the classification error) and call it optimal_k. In other words, at which value of k does the k_class_error take the minimum value?