期刊
ANNALS OF TRANSLATIONAL MEDICINE
卷 4, 期 12, 页码 -出版社
AME PUBL CO
DOI: 10.21037/atm.2016.03.38
关键词
Machine learning; R; naive Bayes; classification; average accuracy; kappa
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.
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