Model Validation Methods
To ensure the optimal runs over the hold back prediction (testing validation), model parameterization was achieved by minimizing together the Root Mean Squared Error (RMSE) and the Mean Absolute Scaled Error (MASE), and maximizing the correlation coefficient (R):
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