Write a function to find the optimal k (the k value which minimizes the classification error) and call it optimal_k.
# 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 […]