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model.predict(X_test) # Evaluating the model print("Accuracy:", accuracy_score(y_test, y_pred)) print("Precision:", precision_score(y_test, y_pred)) print("Recall:", recall_score(y_test, y_pred)) print("F1-Score:", f1_score(y_test, y_pred)) Each of these metrics gives us different insights into the