Sentence examples for root means square error from inspiring English sources

The final measurement model, consisting of eight specific and independent constructs (domains), demonstrated good measurement properties (root means square error of approximation = 0.07 and standardised root mean squared residual = 0.05) [ 24].

The accuracy of the orthorectified image was confirmed by evaluating the root means square error.

In addition, the statistical validity of the developed model has been determined by using the coefficient of determination (R2), the root means square error (RMSE) and the mean absolute percentage error (MAPE).

The coefficient of determination (R2), the root means square error (RMSE) and the mean absolute percentage error (MAPE) were calculated as 0.996, 0.0002053, 0.4161673 and 0.997, 0.0005013, 0.4280322, respectively.

The performance of the present model is based on the coefficient of correlation of the linear regression line between predicted values from the present model and desired output (R), mean absolute percentage error (MAPE), average percentage error (APE), root means square error (RMSE) etc.

The estimation and prediction results of these models were compared with two other soft computing methods (ANN (Artificial Neural Network) and GP (Genetic programming)) by using three statistical indicators i.e. RMSE (root means square error), coefficient of determination (R2) and Pearson coefficient (r).

Root mean square error was found out as 1.56.

Genetic Algorithm then searches for the best coefficients by minimizing the root mean square error.

The goodness of fit was evaluated with coefficient of determination and root mean square error.

The trained ANN model generated satisfied root mean square error value.

The root mean square error values are relatively small and ranged between 7 and 9%.