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