Forecasting accuracy refers to the degree to which a forecast aligns with actual outcomes, measuring how well a model predicts future values based on past data. This concept is crucial for evaluating the reliability of time series models, as it helps determine their effectiveness in making predictions. High forecasting accuracy indicates that the model can capture patterns and trends in the data, while low accuracy suggests a need for model refinement or the use of alternative techniques.
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