Question: Three forecasting methods are considered and all three show comparable residual diagnostic results. Mean Absolute Percent Error (MAPE) is calculated In-sample (training dataset with 240
Three forecasting methods are considered and all three show comparable residual diagnostic results. Mean Absolute Percent Error (MAPE) is calculated In-sample (training dataset with 240 time periods), Out-of-sample (testing dataset with 60 time periods) and All data (training + testing dataset with a total of 300 time periods) and provided in the table below.
| In-Sample MAPE | Out-of-Sample MAPE | Training + Testing data | |
| Forecasting Method 1 | 6.78% | 8.32% | 7.09% |
| Forecasting Method 2 | 8.24% | 7.53% | 8.10% |
| Forecasting Method 3 | 7.14% | 7.36% |
1. Given the forecasting accuracy of the three methods above, which forecasting method would you recommend be used?
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