RMSE (Root Mean Square Error)

Root Mean Square Error (RMSE) is a measure used to evaluate how close predicted values are to actual observed values. It calculates the average of the squared differences between predictions and actuals, then takes the square root of that average. This process emphasizes larger errors more than smaller ones, providing a single number that reflects the overall accuracy of a model. A lower RMSE indicates predictions are close to real results, showing better performance, while a higher RMSE suggests larger discrepancies and less accurate predictions. It’s a common way to assess the quality of models in various fields.