# 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?
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