Performance Evaluation of Regression Models for the Prediction of the COVID-19 Reproduction Rate

This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate prediction and to study the impact of feature selection...

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Detalles Bibliográficos
Autores principales: Kaliappan, Jayakumar, Srinivasan, Kathiravan, Mian Qaisar, Saeed, Sundararajan, Karpagam, Chang, Chuan-Yu, C, Suganthan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476853/
https://www.ncbi.nlm.nih.gov/pubmed/34595149
http://dx.doi.org/10.3389/fpubh.2021.729795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476853/
https://www.ncbi.nlm.nih.gov/pubmed/34595149
http://dx.doi.org/10.3389/fpubh.2021.729795

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