Introduction to Naive Bayes and a Review on Its Subtypes with Applications
Eguturi Manjith Kumar Reddy, Akash Gurrala, Vasireddy Bindu Hasitha, Korupalli V Rajesh Kumar
Abstract
Artificial intelligence engages all domains with its powerful performance capabilities. In this aspect, machine-based classification algorithms are widely popular for multipurpose applications. In this context, naive Bayes algorithm is a classification model that works on Bayes theorem. Generally, Bayes theorem is used for finding a hypothesis with the given evidence, which mainly it works on probabilities. In this chapter, we discuss the intuition behind naive Bayes algorithm and its power of performance in the applications and mainly how it is used to find a hypothesis based on evidence. Here, we have done conducted activity recognition as an application using naive Bayes algorithm and achieved good of accuracy.