A data scientist has developed a linear regression model using log(price) as the target variable. After making predictions, both the predicted and actual values are stored in a Spark DataFrame named preds_df. The data scientist evaluates the model using the following code: regression_evaluator.setMetricName("rmse").evaluate(preds_df). What modification is necessary to the RMSE evaluation approach to ensure it's comparable with the original price scale? Choose the single best answer.