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The root mean square errors of the fitted model, and the plot of predicted-versus-observed bacterial loads, were measures that indicated the predictive model was a good fit.
Root mean square error (RMSE) and coefficient of determination (R2) were used to evaluate the goodness of fit for the different effects.
]) values was characterised by the slope (Eqn 5), offset (Eqn 6), correlation coefficient (r; Eqn 7), R-squared and the root mean square error (RMSE).
For uniform dither theoretical dependence of root mean square error (RMSE) upon standard deviation of added noise has been proved through measurements in the whole range.
While table-3 gives the root mean square error (RMSE) and mean bias error (MBE).
However, the PLS1 models with lower root mean square error of prediction (RMSEP), standard error of prediction (SEP) and Bias were better when compared to the PCR models developed using the whole NIR spectra region and restricted NIR spectra region not associated with the hydroxyl band.
The root mean square error (RMSE) was calculated for each model prediction using the following equation:
Figure 1 shows the root mean square error (RMSE) of projections for PSND as a per cent of GDP implied by the same set of stochastic simulations used to assess the uncertainty of projections for the current budget balance.