Table 5.

Out-of-sample forecasting accuracy for visitors

6-step ahead12-step ahead
ModelMAEMCSRMSEMCSMAEMCSRMSEMCS
Period 1        
SSARIMA41.42880.044.23810.042.51850.051.87790.0
MSARIMA47.38810.049.90240.046.66750.057.17570.0
ANN46.16760.049.27560.054.85110.060.91100.0
LSTM28.96481.030.46761.032.14641.045.21011.0
RNN45.14810.046.44710.046.17060.056.79020.0
SVM48.80500.055.88720.058.62100.064.50370.0
Naïve 150.33110.053.81760.058.68150.064.85410.0
Period 2        
SSARIMA35.81640.039.51070.031.09320.035.95450.0
MSARIMA21.17240.026.05610.027.94340.030.38060.0
ANN42.06530.043.99680.044.25930.046.87790.0
LSTM20.08211.022.76621.019.47921.020.92531.0
RNN40.49640.043.97830.042.04210.045.49030.0
SVM28.36970.029.96650.029.57850.034.98650.0
Naïve 142.31250.044.15400.048.92300.051.33250.0
Period 3        
SSARIMA31.93790.038.70950.032.03360.037.13650.0
MSARIMA32.96460.039.31030.032.17940.039.84040.0
ANN38.02340.044.47810.039.55580.045.86750.0
LSTM28.74611.030.06181.026.11321.027.50151.0
RNN30.02290.033.10550.030.30030.035.70120.0
SVM50.29010.055.61450.047.66010.052.68410.0
Naïve 153.13150.056.36210.048.11250.053.10020.0

Note:

The italic numbers indicate the lowest error rate (MAE and RMSE)

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