GitHub - steve303/stat542code1-ClassificationExamples: Objectives: 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.

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

Design a KNN algorithm using R
Summarize classification performance using KNN, linear/quadratic regression and Bayes rule. Training and test data are generated from a bi-variate Gaussian mixture model.
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README.md		README.md
hw1.Rproj		hw1.Rproj