Forecast bias refers to the systematic error that occurs when forecasts consistently overestimate or underestimate actual values. It highlights a consistent trend in errors, indicating that predictions are not accurately reflecting reality. Understanding forecast bias is crucial because it can significantly impact decision-making, resource allocation, and performance evaluation in various contexts.
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