R implementation of Naive Bayes Classifier. P&S 1st Lab assignment
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Updated
Oct 18, 2022 - HTML
R implementation of Naive Bayes Classifier. P&S 1st Lab assignment
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.
R package for arbitrary dependency mixed multivariate bayesian models for regression, classification and neighborhood search using joint probabilities and Kernel Density Estimation.
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