Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder; Alpaslan Yaşar

doi:10.1371/journal.pone.0345071

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Open Access

Peer-reviewed

Research Article

Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder ,

Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

* E-mail: uejder@atu.edu.tr

Affiliation Adana Alparslan Türkeş Science and Technology University, Department of Information Technology, Adana, Turkey

https://orcid.org/0000-0002-7796-9528

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Alpaslan Yaşar

Roles Conceptualization, Data curation, Funding acquisition, Methodology, Supervision, Visualization, Writing – original draft, Writing – review & editing

Affiliation Adana Alparslan Türkeş Science and Technology University, Department of Business, Adana, Turkey
⨯

Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder,
Alpaslan Yaşar

Published: March 20, 2026
https://doi.org/10.1371/journal.pone.0345071

About the Authors

Uğur Ejder

Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

* E-mail: uejder@atu.edu.tr

Affiliation Adana Alparslan Türkeş Science and Technology University, Department of Information Technology, Adana, Turkey

https://orcid.org/0000-0002-7796-9528

Alpaslan Yaşar

Roles Conceptualization, Data curation, Funding acquisition, Methodology, Supervision, Visualization, Writing – original draft, Writing – review & editing

Affiliation Adana Alparslan Türkeş Science and Technology University, Department of Business, Adana, Turkey

Competing Interests

The authors have declared that no competing interests exist.

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