Asset Structure Data

This dataset contains structured financial and analytical data derived from a study on credit risk modeling and intelligent risk control systems in the banking sector.It includes multi-year quantitative indicators such as loan balances, non-performing loan ratios, provisioning coverage, industry loan distribution, and predictive modeling results generated through machine learning algorithms including XGBoost and Logistic Regression. The dataset is designed to support empirical research on credit risk assessment, banking performance evaluation, AI-based financial analytics, and data-driven decision systems.It can be used for academic research, quantitative analysis, and the development of intelligent financial risk management frameworks.