NAÏVE Bayes Classifier

Let us talk about Bayesian Network. Bayesian Network is a probablistic model represent a set of random variables and their conditional dependencies. This model can be represented using DAG (Directed Acrylic Graph) where nodes can be observable quantities, latent variables (not observable, inferred only) and not known parameters or hypothesis. DAG can help to understand the model in a easy manner. Edges in DAG represents conditional dependencies between nodes.