Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

T. C. NokeriData Science Revealedhttps://doi.org/10.1007/978-1-4842-6870-4_9

9. Back to the Classics

Tshepo Chris Nokeri¹  

(1)

Pretoria, South Africa

 

We will now cover one of the oldest classification methods; naïve Bayes is an early 18^th century model. It is a supervised learning model that solves binary and multiclass classification problems. The word naïve derives from the assumption that the model makes about the data. We consider it naïve because it assumes that variables are independent of each other, meaning there is no dependency on the data. This rarely occurs in the actual world. We can reduce the naïve Bayes theorem into Equation 9-1.

(Equation ...