The result will be evaluated by Root Mean Square Error (RMSE). This formula calculates the square root of the average of the squared differences between the predicted values *ŷ* and the actual values *y*, providing a measure of the differences in the units of the response variable.

$$
\text{RMSE}(y, \hat{y}) = \sqrt{\frac{\sum_{i=0}^{N-1} (y_i - \hat{y}_i)^2}{N}}
$$