Naive Bayes classification in R

被引：57

作者：

Zhang, Zhongheng ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Crit Care Med, Jinhua Municipal Cent Hosp, Jinhua Hosp, Jinhua 321000, Peoples R China

来源：

ANNALS OF TRANSLATIONAL MEDICINE | 2016年 / 4卷 / 12期

关键词：

Machine learning; R; naive Bayes; classification; average accuracy; kappa; SEPSIS;

D O I：

10.21037/atm.2016.03.38

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Naive 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 Naive Bayes classification.

引用

页码：1 / 5

页数：5

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