Question
4. An analyst ran three models as following with the respective training and validation periods error values: 1. Linear Trend; Training Period RMSE = 1246.43,
4.
An analyst ran three models as following with the respective training and validation periods error values:
1. Linear Trend; Training Period RMSE = 1246.43, Validation Period RMSE = 2130.43
2. Exponential Trend + Seasonality: Training Period RMSE = 643.44, Validation Period RMSE = 690.88
3. Polynomial Trend + Seasonality: Training Period RMSE = 689.09, Validation Period RMSE = 603.78
Based on the above information, please select the right statement below:
a. | Exponential Trend + Seasonality model can forecast future values better than others | |
b. | Polynomial Trend + Seasonality model can forecast future values better than others
| |
c. | Linear model can forecast future values better than others
| |
d. | None of the above statements are correct. |
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