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

• Main Authors: Jayakumar Kaliappan (Author), Kathiravan Srinivasan (Author), Saeed Mian Qaisar (Author), Karpagam Sundararajan (Author), Chuan-Yu Chang (Author), Suganthan C (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...