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    Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models by Abbas Pak, Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Mohammadreza Mahmoudi

    Published 2025-01-01
    “…The present investigation, using an extensive collection of data from 16 sensors in Tehran, Iran, from 2013 to 2023, focuses on applying the Least Absolute Shrinkage and Selection Operator (Lasso) regularisation technique to enhance the forecasting precision of ambient air pollutants concentration models, including particulate matter (PM2.5 and PM10), CO, NO2, SO2, and O3 while decreasing overfitting. …”
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