aspg-28-1218-1792155152 20261016125232 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 2022 1 2 Hamzah A. Alsayadi Computer Science Department, Faculty of Sciences, Ibb University, Yemen Abdelaziz A. Abdelhamid Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, 11566, Egypt El-Sayed M. El-Kenawy Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt Abdelhameed Ibrahim Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, 35516, Mansoura Egypt Marwa M. Eid Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura, Egypt Air pollution is a particularly important problem in most countries right now because of its terrible effects on both the environment and human health. Big cities are most impacted because of the country’s quick industrial and economic development. In this paper, the authors proposed various regression model for the prediction of air quality including decision tree regressor, MLP regressor, SVR, random forest regressor, and K-Neighbors regressor. The air quality dataset, in Itally cities, is used for training and evaluation the proposed model. The results show that there is a decrease in RMSE, MAE, MBE, R, R2, RRMSE, NSE, and WI when compared to the traditional methods. 2022 08 16 1218 https://creativecommons.org/licenses/by/4.0/ 10.54216/JAIM.010201 https://www.americaspg.com/journal/28/article/1218 https://www.americaspg.com/storage/6556.pdf