Credit risk assessment often faces significant challenges due to class imbalance and the opaque nature of machine learning models. which can result in biased predictions and hinder trust among stakeholders. To address these issues. this study proposes a framework combining the TabTransformer model with weighted loss techniques to balance class distributions and improve predictive accu... https://www.sjcaindia.com/product-category/led-lighting/