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Naïve Bayes classification in R

   
@article{ATM10175,
	author = {Zhongheng Zhang},
	title = {Naïve Bayes classification in R},
	journal = {Annals of Translational Medicine},
	volume = {4},
	number = {12},
	year = {2016},
	keywords = {},
	abstract = {Naïve Bayes classification is a kind of simple probabilistic classification methods based on Bayes’ theorem with the assumption of independence between features. The model is trained on training dataset to make predictions by predict() function. This article introduces two functions naiveBayes() and train() for the performance of Naïve Bayes classification.},
	issn = {2305-5847},	url = {https://atm.amegroups.org/article/view/10175}
}