What is Root Mean Squared Error (RMSE) and how is it used in predictive analytics to measure model performance? How does RMSE calculate the difference between actual and predicted values? Why is RMSE considered an important evaluation metric for regression models? How does RMSE differ from other error metrics like MAE (Mean Absolute Error)? In what situations is RMSE most useful for assessing prediction accuracy?