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Table 4 Comparisons across models

From: Time series modelling to forecast prehospital EMS demand for diabetic emergencies

  Model MAE MSE MAPE
a) SARIMA 37.75 1883.29 7.32%
b) SARIMA + time trend 49.00 2792.45 9.11%
c) ARIMA + seasonality 38.63 1581.40 7.23%
d) Exponential smoothing 47.25 2384.75 8.78%
e) Linear time trend + seasonality 43.22 2964.31 7.57%
  1. MAE (Mean Absolute Error), MSE (Mean Square Error), MAPE (Mean Absolute Percentage Error)
  2. Please note that measures of prediction accuracy across-model comparisons were generated using one-step forecasting