Predicting tax avoidance in the European Union using machine learning models : a comparative study of Logistic Regression, Random Forest and XGBoost with metaheuristic feature selection algorithms

Roijen, F.

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Tilburg University

Predicting tax avoidance in the European Union using machine learning models : a comparative study of Logistic Regression, Random Forest and XGBoost with metaheuristic feature selection algorithms

dc:creator Roijen, F.

dc:date2025

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Author dc:creator: Roijen, F.
Contributors dc:contributor: Güven, Ç.

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Statement dc:rights: (c) Universiteit van Tilburg
Language dc:language: eng

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Repository record dc:identifier: https://tilburguniversity.on.worldcat.org/search?queryString=scr.uvt.nl:11136826
OAI identifier oai:identifier: oai:scr.uvt.nl:11136826

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Harvested from: Tilburg University
Base URL: arno.uvt.nl/oai/scr.uvt.nl.cgi
Last updated: 2026-07-24
Source record: OAI-PMH GetRecord

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tilburg
2025

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Roijen, F.. Predicting tax avoidance in the European Union using machine learning models : a comparative study of Logistic Regression, Random Forest and XGBoost with metaheuristic feature selection algorithms. 2025. https://tilburguniversity.on.worldcat.org/search?queryString=scr.uvt.nl:11136826

Predicting tax avoidance in the European Union using machine learning models : a comparative study of Logistic Regression, Random Forest and XGBoost with metaheuristic feature selection algorithms

Author and committee

Rights

Identifiers

Chain of custody

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