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Table 3 Forecast performance of the multivariate LSTM model with different size factor sets

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

Number of factors

RMSE

MAE

MAPE (%)

sMAPE (%)

24

0.5002

0.3779

9.1007

8.7484

17

0.4499

0.3398

8.3577

7.9290

10

0.4854

0.3502

8.6350

8.0442

5

0.6184

0.4462

11.1905

9.9987

0

0.5213

0.4106

10.2265

9.4457

  1. Bold indicates the best performing model
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BMC Infectious Diseases

ISSN: 1471-2334

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