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This file contains code to implement all hybrid-2 models in the paper titled "Hybrid machine learning models using soft voting classifier for financial distress prediction". This paper was conditionally accepted at the Springer book titled "Artificial Intelligence and Machine Learning for Econometrics: Applications, Regulation and Related Topics".

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GoMinh/Hybrid-ML-models-for-financial-distress-prediction

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This file contains code to implement all hybrid-2 models in the paper titled "Hybrid machine learning models using soft voting classifier for financial distress prediction". This paper was conditionally accepted at the Springer book titled "Artificial Intelligence and Machine Learning for Econometrics: Applications, Regulation and Related Topics" (forthcoming).

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This file contains code to implement all hybrid-2 models in the paper titled "Hybrid machine learning models using soft voting classifier for financial distress prediction". This paper was conditionally accepted at the Springer book titled "Artificial Intelligence and Machine Learning for Econometrics: Applications, Regulation and Related Topics".

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