A nearest neighbor approach is best used
A) with large-sized datasets.
B) when irrelevant attributes have been removed from the data.
C) when a generalized model of the data is desireable.
D) when an explanation of what has been found is of primary importance.

Question

Quizplus · Accepted Answer

A nearest neighbor approach works best when irrelevant attributes have been removed from the data, as the presence of irrelevant features can significantly degrade the performance of the algorithm by adding noise to the distance measurements between instances.

A Nearest Neighbor Approach Is Best Used