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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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2021-09-01T00:00:00Z.
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