| Literature DB >> 27429967 |
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.Keywords: Machine learning; R; average accuracy; classification; kappa; naïve Bayes
Year: 2016 PMID: 27429967 PMCID: PMC4930525 DOI: 10.21037/atm.2016.03.38
Source DB: PubMed Journal: Ann Transl Med ISSN: 2305-5839