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The final evaluation metric for the classification model is the classification report, which consists of different evaluation metrics. It reports back on parameters evaluating the classification model using true labels and predictions. The report includes precision, recall, F1 score, support, accuracy, macro average, and weighted average metrics. It provides a comprehensive analysis of the model's performance.