Table 2 Summary by MAE, MSE, percentage error.
From: A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Model 1 (more variables) | Model 2 (fewer variables) | Classical model (ARIMA) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
MAPE | MAE | RMSE | Percentage error (%) | MAE | RMSE | Percentage error (%) | MAE | RMSE | Percentage error (%) | |
Min | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
25P | 0 | 26 | 35 | 22 | 26 | 37 | 24 | 22 | 32 | 15 |
Median | 1 | 157 | 209 | 51 | 150 | 192 | 53 | 130 | 161 | 41 |
75P | 4.47E+15 | 666 | 752 | 87 | 716 | 863 | 92 | 475 | 532 | 69 |
Max | 1.81E+19 | 44,250 | 52,940 | 16,928 | 47,506 | 55,796 | 16,633 | 88,363 | 98,098 | 1296 |
