Explainability of Machine Learning Models for Bankruptcy Prediction

Explainability of Machine Learning Models for Bankruptcy Prediction

As the amount of data increases, it is more likely that the assumptions in the existing economic analysis model are unsatisfied or make it difficult to establish a new analysis model. Therefore, there has been increased demand for applying the machine learning methodology to bankruptcy prediction du...

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Bibliographic Details
Main Authors: Min Sue Park, Hwijae Son, Chongseok Hyun, Hyung Ju Hwang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bankruptcy prediction
machine learning
explainable AI
feature importance
Online Access:https://ieeexplore.ieee.org/document/9529166/

Internet

https://ieeexplore.ieee.org/document/9529166/

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