1 / 8 Nearest Neighbors & Evaluation Basics

Majority Rules

A k-NN classifier is asked to label a new point. Given its k nearest neighbors in the training set, how does the algorithm decide the predicted class?

A

It averages the neighbors' class labels as if they were continuous numbers

B

It assigns the class that appears most often among the k nearest neighbors

C

It assigns the class of the single neighbor with the smallest feature values

D

It fits a linear boundary through the k neighbors and reads off the class