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Table 5 Results of the top three ARIMA models: Point forecast accuracy

From: A temporal analysis on patient and health service delays in pulmonary tuberculosis in Portugal: inter and intra‑regional differences and in(equalities) between gender and age

 

Model

RMSE

MAE

MAPE

MASE

Health Delay

 

ARIMA(2,1,1)(2,0,0)[12] with constant

1.0158

0.8587

7.8088

0.7853

 

ARIMA(1,1,0)(2,0,0)[12] with constant

1.0206

0.8656

7.8827

0.7916

 

ARIMA(1,1,0)(2,0,0)[12]

1.0232

0.8674

7.8958

0.7933

Patient Delay

 

ARIMA(4,1,0)(0,0,1)[12]

1.4775

1.2136

3.1758

0.6674

 

ARIMA(4,1,0)(1,0,0)[12]

1.5664

1.3344

3.5031

0.7339

 

ARIMA(1,1,3)(0,0,1)[12]

2.3132

2.0653

5.4028

1.1358