Sandipan Das Mahapatra

Cross Feature Selection to Eliminate Spurious Interactions and Single Feature Dominance Explainable Boosting Machines

2023 · arXiv (Cornell University)

Interpretability is a crucial aspect of machine learning models that enables humans to understand and trust the decision-making process of these models. In many real-world applications, the interpretability of models is essential for legal, ethical, …