Author(s)

Shengyuan Zhang

Corresponding Author

Shengyuan Zhang

ABSTRACT

Despite the directness of the Naive Bayes classifier, it has been one of the most used and powerful classification algorithms. Not only does the model perform better than other more complicated models, but it also requires less training sets than other models. This paper provides a summarization of the implications of the Naive Bayes classifier across many fields of study to see the execution of the Naive Bayes model in nine-teen different circumstances.

KEYWORDS

Naïve Bayes classification, review