XGBoost

An advanced gradient boosting method and library known for its speed, performance, and regularization features.

XGBoost has stood out for many years as one of the most successful methods in tabular-data competitions and enterprise projects. It enhances the gradient boosting framework with more efficient data structures, regularization mechanisms, and parallel processing support. When combined with careful feature engineering, it can deliver extremely strong results. However, its complex hyperparameter space requires deliberate and informed optimization.