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.
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