July 14, 2023Open Access

Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam

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Abstract

correlation coefficient of 0.9753. In summary, machine learning is a promising technique for predicting AQI with Catboost being the best-performing model for AQI prediction. Moreover, by leveraging historical data and machine learning algorithms enables accurate predictions of future urban air quality levels on a global scale.

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Ravindiran et al. (Fri,) studied this question.

synapsesocial.com/papers/6a0167388b7d42ba0b4615eb https://doi.org/https://doi.org/10.1016/j.chemosphere.2023.139518

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