How do you evaluate the performance of a machine learning model?

When assessing the effectiveness of a machine learning model, one must consider various metrics and evaluation techniques. Relying solely on accuracy can be misleading; thus, it's crucial to analyze precision, recall, F1 score, and AUC-ROC curves. How can we truly gauge a model's performance without a comprehensive evaluation approach?

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