Going concern prediction – A horse race between traditional and regularization machine learning models

Going concern prediction – A horse race between traditional and regularization machine learning models

Regularization machine learning (ML) methods have been increasingly applied in accounting research, offering new possibilities in predictive modeling. Their forte lies in the effective regularization methods for resolving the biggest concern of generalization, which is the risk of overfitting the tr...

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Bibliographic Details
Main Authors: Tina Vuko, Slavko Šodan, Ivana Perica
Format: Article
Language:English
Published: Croatian Operational Research Society 2025-01-01
Series:Croatian Operational Research Review
Subjects:
elastic net
lasso
ridge regression
class imbalance
prediction
Online Access:https://hrcak.srce.hr/file/476876
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