Sentence examples for mean squared prediction from inspiring English sources

Cross validation was conducted to determine the efficiency of the predictive models and the mean squared prediction error (MSPE) was calculated.

Accuracy of FFM-BIA equations was evaluated by the percentage adolescents predicted within 5%% of FFM-DXA measured, the mean percentage difference between predicted and measured values (bias) and the Root Mean Squared prediction Error (RMSE).

The root mean squared prediction error (RMSE) was used to indicate how well the equation predicted in our dataset.

In an effort to predict a value for each pixel while minimizing the root mean squared prediction error, a small number of k nearest neighboring plots were used to impute a weighted mean value to each label plot, with the weight assigned to each neighboring plot based on its proximity to the label plot as measured in the featurespace of canonical variates.

The design criterion is the average mean squared prediction error (AMSPE).

The mean squared prediction errors of the two models were somewhat comparable.

Here, "better predicted" means a smaller mean square prediction error.

Neutral detergent fibre (NDF) and nitrogen rumen pools were predicted with a relatively low root mean square prediction error (MSPE) of the observed means (11%) in Exps. 1 and 2, but a higher value (18%) was observed in Exp. 3.

Furthermore, it was observed that the mean square prediction error itself became less suitable as a validation criterion, and that a predictive performance measure should incorporate interindividual variability.

The root mean square prediction error of TSS was in the range of 0.9 1.6% in the different prediction models.

The coefficients a and b that minimize the restricted mean square prediction error E{ Y − a − bX 2} give the best linear least squares predictor.