Project Overview
This project explores a Bayesian formulation for CART classification trees, aiming for stronger fit and generalization compared with traditional deterministic approaches.
It studies optimization strategies using Markov chains and dataset-alignment criteria to analyze model behavior across different classification scenarios.
Tech Stack
Python
scikit-learn
Bayesian Methods
Markov Chains