Implement a k-nearest neighbors algorithm.

The k-nearest neighbors algorithm is a supervised learning algorithm that can be used for both classification and regression. The algorithm works by finding the k nearest neighbors to a given data point, and then using those neighbors to predict the class or value of the data point.


Implement a k-nearest neighbors algorithm from scratch.


by robertrhee
The solution is to find the k nearest neighbors to the data point, then take the mode of the labels of those neighbors. This is optimal because it is the most accurate way to find the label of the data point.

A.I. Evaluation of the Solution

The candidate's solution is complete and solves the problem. The approach is generally sound, although there may be more efficient ways to implement the algorithm.

Evaluated at: 2022-11-04 19:50:47