Cost-sensitive stacking ensemble learning for company financial distress prediction
Release Time:2024-09-07 Hits:
Date of Publication: 2024-08-28
Volume: 255
ISSN: 0957-4174
Key Words: Benchmark models; Chinese listed companies; Classification models; Cost-sensitive; Cost-sensitive learning; Data mining; Ensemble learning; Feature Selection; Financial distress; Financial distress prediction; Forecasting; Losses; Prediction problem; Stackings