If you multiply all model scores by 2, will the ROC AUC change?

ROC AUC (Area Under the Receiver Operating Characteristic Curve) measures the quality of the model's ranking, that is, how well the model separates the classes. If all model scores are multiplied by 2, the order of predictions will not change because multiplying by a positive number preserves the relative order. Since ROC AUC depends only on the order of predictions and not their absolute values, the ROC AUC value will remain the same.