Relative positioning means that the web developer specifies an X and Y offset from the usual position of the element.
These include mean absolute error (MAE), root mean square error (RMSE), and relative root mean square error (RMSE%).
The relative root mean square errors of the model for growth ranged between 0.09 and 0.31.
Simulation results indicate that the proposed methods perform competitively in terms of relative bias and relative root mean square error.
Relative root mean square errors (RMSEs) for the RF5 and RF10 were 6.14 and 6.01%, respectively.
The performance of all models was assessed two common statistical parameters: the relative root mean square error (RMSE) and the relative mean bias error (MBE).
The performance of all models was assessed with two common statistical parameters: the relative root mean square error (RMSE) and the relative mean bias error (MBE).
The designs were assessed by computing bias, relative bias, mean square error and coverages of confidence intervals.
The relative root mean square errors for them are (e u)=0.0060) and (e u)=0.0059), respectively.
The adjusted R2 increased from 0.35 to 0.74 while the relative root mean square error decreased from 63.6 to 29.2%.
