Practical Statistical Learning - General comparisons of machine learning algorithms trained on bi-variate Gaussian mixture model

Objective

1. Design a KNN algorithm using R
2. Summarize classification performance using KNN, linear/quadratic regression and Bayes rule. Training and test data are generated from a bi-variate Gaussian mixture model.
   link to report