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COVID-19 Prediction Using Tree Models by researchdeb2025 is a document available to read on EtoBox.

What is COVID-19 Prediction Using Tree Models about?

This research article presents a data-driven ensemble framework utilizing tree-based machine learning models to forecast daily new COVID-19 cases in the USA and identify key influencing factors. The study developed three algorithms—Random Forest, XGBoost, and LightGBM—integrated through linear ensemble methods, achieving the highest prediction accuracy with the LightGBM model. Key findings indicate that vaccination, mask-wearing, reduced mobility, and government interventions positively impact COVID-19 cont

Author

researchdeb2025

Language

EN