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Image of Journal of Applied Nonlinear Dynamics
ISSN:2325-6192 (print)
ISSN:2325-6206 (online)
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn

Studying Air Pollution with ML Classifiers

Journal of Environmental Accounting and Management 13(1) (2025) 41--51 | DOI:10.5890/JEAM.2025.03.004

Alexandru Pintea

Coventry University, Priory Street, Coventry CV1 5FB, UK

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Abstract

Machine learning classifiers intent to group inputs into predefined classes. Such predictions occur after the model has been properly trained. In this paper the models used include decision trees (standalone and within random forest models) and bagging classifiers. Their hyperparameters are optimised to provide the best accuracy/precision. All the results are analysed alongside ethical considerations and data biases to provide a generalisable conclusion. Ultimately, the aim of the research is to anticipate dangerous pollution levels, to help reduce the identified causes that produce it.

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