Concept: Once a model has been trained, evaluating its performance is crucial to understanding how well it makes predictions. There are various metrics and methodologies used to assess a model’s effectiveness. Definition: One particular evaluation technique summarizes how much of the variance between predicted and true values is explained by the model. The closer this value is to 1, the better the model’s performance. Question: Which evaluation metric aligns with this description?