Table 2 Overview of baseline statistical and ML model performance metrics on test set (2021)
From: Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data
Weather features only | Weather and calendar features | ||||||
|---|---|---|---|---|---|---|---|
Model type | Model name | MAE (Ncount/day) | MAPE (%) | RMSE (Ncount/day) | MAE (Ncount/day) | MAPE (%) | RMSE (Ncount/day) |
Baseline statistical | Poisson | 1.72 | 58 | 2.73 | 1.69 | 57 | 2.68 |
GAM | 1.44 | 56 | 1.64 | 1.41 | 56 | 1.62 | |
Machine learning (ML) | SVR | 1.28 | 52 | 1.58 | 1.27 | 52 | 1.58 |
RF | 1.26 | 49 | 1.54 | 1.25 | 49 | 1.52 | |
XGB | 1.25 | 48 | 1.52 | 1.21 | 47 | 1.49 | |
