The Explainable Boosting Machine (EBM) is an advanced machine learning model that combines the flexibility of ensemble methods with the interpretability of generalized additive models (GAMs). By structuring its predictions as a sum of function contributions, EBM allows users to gain insights into how each feature influences the final output, making it especially useful in contexts where explainability is crucial.
### Mathematical


