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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/steve303%2Fstat542code1-ClassificationExamples
PURL: pkg:github/steve303/stat542code1-ClassificationExamples

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: HTML
Size: 940 KB
Dependencies parsed at: Pending

Created at: almost 4 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: bayes-classifier, knn, mixture-model, quadratic-regression, r

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