Stacking Ensemble Method for Air Quality Monitoring in Taiwan  
Author

Tzong-Ru Tsai

 

Co-Author(s)

Shao-Yun Kan

 

Abstract In this study, we investigated air quality in Taiwan over the past years and across regions. The Chernoff face plot and stacked ensemble models are employed to construct machine learning models for predicting the air quality index. An air-quality dataset in Taiwan is used to illustrate the proposed method.

 

Keywords Gradient boosting method; Random forests; Stacking ensemble method; Support Vector Regression
   
    Article #:  RQD2026-31
 

Proceedings of 31st ISSAT International Conference on Reliability & Quality in Design
August 5-7, 2026