Tuyen Le Nam

Corporate Financial Distress Prediction in Vietnam Using Calibrated and Explainable Machine Learning

Out-of-time evidence indicates that tree-ensemble methods provide the strongest combination of ranking performance and probability accuracy, with the random forest providing the best out-of-time performance among the evaluated models, with reasonable discrimination and the lowest probability error.