Difference between K-nearest neighbours (KNN) classifier and regression methods

KNN classifier KNN regression
It is typically used to solve classification problems. It is used to solve regression problems.
It solves the problem by identifying the neighbours and then estimating conditional probability...

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Chapter 3, Problem 1E

Chapter 3, Problem 3E

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An introduction to statistical learning: with applications in R

Ch. 3 - Prob. 1E Ch. 3 - Prob. 2E Ch. 3 - Prob. 3E Ch. 3 - Prob. 4E Ch. 3 - Prob. 5E Ch. 3 - Prob. 6E Ch. 3 - Prob. 7E Ch. 3 - Prob. 11E Ch. 3 - Prob. 12E

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KNN classifier	KNN regression
It is typically used to solve classification problems.	It is used to solve regression problems.
It solves the problem by identifying the neighbours and then estimating conditional probability...

Solution Summary: The author explains the difference between K-nearest neighbours (KNN) classifier and regression methods. KNN classification predicts the class in which output variable computes local probability.

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