Abstract: Default risk divides customers into two groups-those who pay on time (non-defaulters) and those who don’t (defaulters). Recently, banks and data scientists, have employed different machine ...

Abstract: In this paper, we compare four state-of-the-art gradient boosting algorithms viz. XGBoost, CatBoost, LightGBM and SnapBoost. All these algorithms are a form of Gradient Boosting Decision ...

This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...