Question
Why is KNN sensitive to irrelevant features?
Select an option. Your answer will be checked instantly.
Correct Answer: B. They distort distance without adding predictive information
Explanation:
Distance treats included dimensions as part of similarity.
Feature selection or metric learning can improve neighborhoods.
Leave a Reply