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Performance metrics are essential tools in evaluating the effectiveness and efficiency of machine learning models. These metrics are used to quantify the accuracy, precision, recall, and other relevant statistics of a model's predictions.Performance metrics are critical in selecting the appropriate model and evaluating its performance.