The k-nearest neighbor classification technique
A) identifies the k observations in the training data that are most similar to a new observation we want to classify
B) sorts the data in an increasing order
C) sorts the data in a decreasing order
D) works very much like the ranking algorithm

Question

Quizplus · Accepted Answer

The k-nearest neighbor classification technique identifies the k observations in the training data that are most similar to a new observation we want to classify. It measures similarity using a distance metric, such as Euclidean distance or cosine similarity, and then classifies the new observation based on the majority class of its k-nearest neighbors.

The K-Nearest Neighbor Classification Technique