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for each model for name, model in models: scores = cross_val_score(model, X, y, cv=5) print(f"{name}: Mean Accuracy = {scores.mean():.3f} (Std = {scores.std():.3f})") This code snippet assumes that you have loaded the dataset into X (features) and y (target labels).A list of models to compare is