Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models

Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models

Abstract As a significant global concern, air pollution triggers enormous challenges in public health and ecological sustainability, necessitating the development of precise algorithms to forecast and mitigate its impacts, which has led to the development of many machine learning (ML)-based models f...

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Bibliographic Details
Main Authors: Abbas Pak, Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Mohammadreza Mahmoudi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Air pollution
Air quality prediction
Overfitting
Lasso regularisation
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-84342-y
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https://doi.org/10.1038/s41598-024-84342-y

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