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F1-score, and area under the ROC curve (AUC-ROC). Here’s an example code snippet using scikit-learn to calculate classification metrics: from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score # Calculate evaluation metrics accuracy = accuracy_score(y_true, y_pred)