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Cost-sensitive stacking ensemble learning for company financial distress prediction

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Date of Publication:2024-08-28

Volume:255

ISSN No.: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

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