[R]Better alternatives to CatBoost for credit risk explainability (not LightGBM)?

I’m working on a credit risk / default prediction problem using CatBoost on tabular data (numerical + categorical, imbalanced).

here is Dataset I used for catboost: https://www.kaggle.com/datasets/uciml/default-of-credit-card-clients-dataset/data