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Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine
2022
IEEE Access
Business failure prediction is very important for the sustainable development of enterprises. Machine learning algorithms, especially ensemble algorithms, have shown great economic benefits in enterprise financial early warning. However, the highly imbalanced class distribution of financial risk data and the inexplainable of most machine learning-based early distress warning models limit their commercial application. To address the above limitations, we enhance the business failure prediction
doi:10.1109/access.2022.3168857
fatcat:vvuxpdyiy5c6bc6efj5r64g36e