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Table 1 A series of alternative the ARIMA (p, 1, q) models (24 steps ahead prediction)

From: A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China

(p, q)

AIC

BIC

RMSE

MAE

MAPE (%)

sMAPE (%)

(5, 5)

408.04

442.55

0.5628

0.4724

11.1506

10.3224

(3, 3)

419.26

442.26

1.3423

1.1488

26.5904

22.5749

\(\varvec{(2, 4)}\)

419.61

442.62

0.4672

0.4177

9.9328

9.3198

(2, 1)

427.84

442.21

0.8994

0.7413

16.9383

19.3824

(3, 5)

417.13

445.88

0.9290

0.7617

17.8239

15.7419

  1. Bold indicates the best performing model
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BMC Infectious Diseases

ISSN: 1471-2334

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