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. 2022 Jan 10;19(2):738. doi: 10.3390/ijerph19020738

Table 3.

Evaluation results for the training sample.

Models RMSE MAE MAPE SMAPE Theil U1 Theil U2
ARIMAML 287.4491 171.1810 6.329595 4.651772 0.001302 4.456228
AUTOARIMA 266.0884 158.2471 5.097415 4.000233 0.001204 3.065781
ARIMAGLS 287.4962 170.3428 1.579800 1.613471 0.001302 0.904637
ARIMAML-ARIMAGLS 287.4308 170.5967 3.587180 3.010201 0.001302 2.431895
ARIMAML 194.9946 107.5219 9.913560 5.122160 0.000946 4.291490
AUTOARIMA 220.0399 124.1118 1.442778 1.494742 0.001067 0.834548
ARIMAGLS 195.6538 106.9622 1.257531 1.378221 0.000949 0.900122
ARIMAML-ARIMAGLS 195.1350 107.0657 5.410406 3.742184 0.000946 2.199975
ARIMAML 1384.8780 667.1446 9.421745 1.801850 0.000259 6.971105
AUTOARIMA 9364.0090 6847.1200 1.622860 1.533954 0.001748 0.715107
ARIMAGLS 1384.8720 666.1256 8.916807 1.775690 0.000259 6.619425
ARIMAML-ARIMAGLS 1384.8530 666.6342 9.169276 1.788919 0.000259 6.795260
ARIMAML 1685.9570 818.2752 14.266580 3.603760 0.000768 13.075140
AUTOARIMA 6842.2840 4613.7460 1.256974 1.241767 0.003113 0.538986
ARIMAGLS 1690.7090 819.5312 1.048277 1.105426 0.000770 0.673285
ARIMAML-ARIMAGLS 1686.6170 814.9397 7.180849 2.674733 0.000768 6.467583