Check your understanding
Quiz
You have worked through kNN and the curse of dimensionality, Naive Bayes, LDA and QDA, decision trees, decision boundaries, and how to read a classifier's scorecard. This quiz checks what stuck. The last two steps are live R you can run.
Question 1 of 6
Choosing k
In k-nearest-neighbours, increasing k tends to:
Correct: averaging over more neighbours steadies the boundary.
Too large a k washes out real structure and can hurt.