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Training objectives should be based on:
Smoothing Constant
A parameter used in exponential smoothing methods to adjust the level of smoothing applied to time series data, influencing the weight given to recent versus older observations.
Mean Absolute Deviation
The average of the absolute differences between each data value and the mean of the data set, measuring variability.
Forecast Error
The difference between the actual value and its forecasted value in a time series analysis.
Sum of Squares
The total squared difference between each observation and the mean of the data set, used in statistical analysis to measure variation.
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