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Context: Once a machine learning model has been trained, it is essential to evaluate its performance using appropriate metrics and methodologies to ensure accurate predictions. Question: Which evaluation metric is best described by the following? "A metric between 0 and 1, calculated based on the square of the differences between predicted and actual values. A value closer to 0 indicates better model performance. Because this metric is relative, it allows for comparisons between models with labels in different units."