Article 37 · Volume 1 (2025)
Machine Learning-Based Prediction of Carbon Dioxide Emissions: A Comparative Analysis of Ensemble Models and Feature Importance Evaluation
Accurate forecasting of carbon dioxide (CO2) emissions is crucial for developing effective environmental policies and mitigating climate change. In this study, we apply machine learning models, including Random Forest, XGBoost, LightGBM, and CatBoost, to predi…