What is hierarchical Naïve Bayes and how is it used in structured classification?

Hierarchical Naïve Bayes models class labels in a tree structure to capture dependencies between categories.

Hierarchical NB extends standard NB by modeling class labels as hierarchical nodes. Each level conditions on parent labels, enabling structured prediction. This improves performance in taxonomy-based classification tasks where labels are not independent but organized in hierarchies.