The k-nearest neighbor machine learning algorithm (kNN) is
A) highly mathematical and computationally intensive.
B) a method that has little in common with regression.
C) regarded as a "lazy" learning method.
D) very complex in its inner workings.

Question

Quizplus · Accepted Answer

The k-nearest neighbor machine learning algorithm (kNN) is a type of lazy learning because it simply stores all of the training data and then compares new data points to it in order to predict their classification or regression values. It is not particularly computationally intensive or mathematically complex, and it has a lot in common with regression as both methods involve predicting a continuous value. Therefore, the best choice is C, regarded as a "lazy" learning method.

The K-Nearest Neighbor Machine Learning Algorithm (KNN) Is