In the k nearest neighbor technique, a large value of k produces classifications that
A) are very sensitive to the sample-specific characteristics of the training data
B) place all observations into the most frequently occurring group in the training data
C) are robust
D) are reliable

Question

Quizplus · Accepted Answer

A large value of k in k-nearest neighbors tends to smooth out the decision boundary, leading to classifications that may default to the most common class in the training data, especially if the classes are imbalanced.

In the K Nearest Neighbor Technique, a Large Value of K