Predictive modeling of tax compliance risks: A comparative study of machine learning approaches

Lan Yang

doi:10.1371/journal.pone.0331715

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Open Access

Peer-reviewed

Research Article

Predictive modeling of tax compliance risks: A comparative study of machine learning approaches

Lan Yang

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: huanganyun26@163.com

Affiliation Southeast Bangkok University, Bangkok, Thailand

https://orcid.org/0009-0003-2917-7942

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Predictive modeling of tax compliance risks: A comparative study of machine learning approaches

Lan Yang

Published: September 30, 2025
https://doi.org/10.1371/journal.pone.0331715

About the Authors

Lan Yang

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: huanganyun26@163.com

Affiliation Southeast Bangkok University, Bangkok, Thailand

https://orcid.org/0009-0003-2917-7942

Competing Interests

The authors have declared that no competing interests exist.

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Taxes
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Finance
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Machine learning
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Risk management
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Behavior
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Support vector machines
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Medical risk factors
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Artificial intelligence
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