Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...

Naive Bayes classification remains a cornerstone of machine learning, renowned for its simplicity, efficiency, and interpretability. This probabilistic approach leverages Bayes’ theorem under the ...

In this article Dr Birnbaum and Dr Maxwell describe some methods of classification based on the classical probability formula of Bayes, and on some of its applications suggested by the theory of ...

Taxonomic classification of the thousands–millions of 16S rRNA gene sequences generated in microbiome studies is often achieved using a naïve Bayesian classifier (for example, the Ribosomal Database ...