Actual results refer to the outcomes that occur in reality, while predictions are forecasts or expectations based on analysis, data, or models. Discrepancies between the two can arise due to unexpected variables, inaccuracies in the predictive model, or changes in external conditions. Such differences highlight the complexity of forecasting and the importance of continuous evaluation and adjustment of predictive methods. Understanding these variations can help refine future predictions and improve decision-making processes.
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