This article goes into detail about the implementation of cross validation for k-NN classifiers, classificaiton ties, and touches on confusion matrices. What is Cross-Validation Cross-validation is a technique used to assess the performance and generalization ability of machine learning models. It …

This article answers the question “what is a k-nearest neighbors algorithm?” and “why is it an important classification model?” NOTE: all data and figures in this post are made using numpy and matplotlib. Overview \(k\)-NN is a simple yet effective supervised learning …