Respective training and validation periods error values

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Question

An analyst ran three models as follows with the respective training and validation periods error values: (0/3) Linear Trend: Training Period RMSE = 600.56, Validation Period MSE = 502.35 Exponential Trend + Seasonality: Training Period RMSE = 586.25, Validation Period RMSE = 555. 24 Polynomial Trend + Seasonality: Training Period RMSE = 502.69, Validation Period RMSE = 70460.25 Based on the above information, please select the right statements below: The polynomial trend + Seasonality model can forecast better than others The exponential trend + Seasonality model has learned the systematic components better than others An overfitting issue is present in the polynomial trend + seasonality model The exponential trend + seasonality model can forecast better than other models An overfitting issue is present in the exponential trend + seasonality.

Reference no: EM133827772

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