Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 10.54216/JAIM https://www.americaspg.com/journals/show/1218 2022 2022 Improving the Regression of Air Quality Using Ensemble of Machine Learning Models Computer Science Department, Faculty of Sciences, Ibb University, Yemen Hamzah A. Alsayadi Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, 11566, Egypt Abdelaziz A. Abdelhamid Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt El-Sayed M. El El-Kenawy Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, 35516, Mansoura Egypt Abdelhameed Ibrahim Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura, Egypt Marwa M. Eid 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 2022 08 16 10.54216/JAIM.010201 https://www.americaspg.com/articleinfo/28/show/1218