From: Forecasting patient flows with pandemic induced concept drift using explainable machine learning
 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Overall |
---|---|---|---|---|---|---|---|
Random Forest | 0.576 | 0.623 | 0.635 | 0.99 | 0.894 | 0.989 | 0.762 |
Prophet | 0.507 | 0.584 | 0.612 | 0.927 | 0.873 | 1.417 | 0.756 |
Gradient Boosting | 0.566 | 0.622 | 0.63 | 0.863 | 0.872 | 0.965 | 0.721 |
CatBoost | 0.598 | 0.599 | 0.629 | 0.85 | 0.866 | 0.959 | 0.719 |
Stacking | 0.516 | 0.573 | 0.596 | 0.845 | 0.865 | 1.127 | 0.706 |
Averaging | 0.525 | 0.565 | 0.588 | 0.833 | 0.816 | 1.000 | 0.685 |
Voting | 0.516 | 0.559 | 0.581 | 0.821 | 0.795 | 0.956 | 0.671 |