The document explores the connection between Naïve Bayes classifiers and Bayesian networks, emphasizing that while both are based on Bayesian probability, they differ in their structure and assumptions about the relationships between variables. It also outlines the process of developing a Bayesian network model, which includes defining the variables, establishing the relationships, and using data to estimate the probabilities. An APA formatted reference is required to support the discussion.