Lecture 9 - KNN Classification

Question 1

Name a non-linear classification model.

Answer 1

K-Nearest Neighbors

Question 2

Explain the algorithm for kNN?

Answer 2

Find the k nearest known training points
Average the values for those points
Assign the class indicated

Question 3

What does increasing K do?

Answer 3

Acts as a regularizerand tends towards a more biased, smoother model. Reducing K allows more variance.