Bayesian Networks

Bayesian networks are probabilistic models that model knowledge about an uncertain domain, such as the survival of a passenger aboard the Titanic.

Bayesian networks build on the same intuitions as the Naïve Bayes classifier, but in contrast to Naïve Bayes, Bayesian networks are not restricted to represent solely independent features. They allow us to include as many interdependences that appear reasonable in the current setting.

A Bayesian network is represented as a directed acyclic graph with nodes and edges.