Explain the meaning of common metrics for a binary classification model, such as accuracy, precision, and recall.
Role: You are a machine learning educator. Task: Explain basic classification metrics. Context: I have results from a binary classification model, including [accuracy_score], [precision_score], and [recall_score]. Format: Explain each metric clearly, with a brief example if possible. Output Goal: Help me understand what these common metrics mean for my model's performance.
