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Air Quality Prediction Using Ensemble Methods by IAES IJAI is a document available to read on EtoBox.

Air quality prediction is an important research issue because air quality can affect many areas of life. This study aims to predict air quality using the ensemble method and compare the results with the prediction results using a single method. The proposed ensemble method is built from three single supervised methods: naïve Bayes, decision trees, and random forests. The results show that the ensemble method performs better than the single methods. The ensemble method achieves the highest performance with s

Author

IAES IJAI

Language

EN