Explainable Gradient Boosting for Corporate Crisis Forecasting in Italian Businesses Donato Riccio Machine Learning Engineer, graduated with honours in Data Analytics and currently pursuing a Master's degree in Data Science at the University of Campania Luigi Vanvitelli, Caserta, Italy https://orcid.org/0009-0001-2147-7831 Fabrizio Maturo Universitas Mercatorum https://orcid.org/0000-0002-2362-4970 Andrea Mazzitelli Universitas Mercatorum https://orcid.org/0000-0001-5690-0815 Giuseppe Bifulco University of Naples Federico II https://orcid.org/0000-0002-5182-6318 Francesco Paolone Universitas Mercatorum https://orcid.org/0000-0002-1728-5052 Research Article Keywords: corporate crises, ｦnancial distress, machine learning, explainable AI, Explainable Gradient Boosting, classiｦcation Posted Date: May 16th, 2024 DOI: https://doi.org/10.21203/rs.3.rs-4426436/v1 License:   This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Additional Declarations: The authors declare no competing interests.