Sentence examples for model error were from inspiring English sources

Root-mean-square-errors (RMSE), used to quantify the model error, were overall similar for the calibration and the validation period.

The physical uncertainties of actions, the inherent variability of soil and model error were assessed by experimental in situ standard penetration tests (SPT) or from information available in the literature.

Finally, in all cases, assumptions about model error were verified using standard procedures for time series analysis.

The allowable ranges of the model error were broad, but the mean model error for all the enzyme combinations decreased as the number of integrated enzymes increased.

As observed among mRNA sequences of their hosts, the main context-dependent mutations that reduced model error were those that eliminated CpG and UpA dinucleotides, prominently represented among both the first choice and alternative mutations.

The overall model error is 34.6 km, or 23%.

The steam turbine model error is 0.94 % with 20 fuzzy rules (Fig. 7), and the engine model error is 4.71 % with 25 fuzzy rules generated (Fig. 8).

The standard deviation of the model error was around 6 dB for the best model.

The engine model error is higher than the steam turbine model due to the load restrictions.

So the model error is 0.2% less than the data scatter around median.

The average percentage model error was 4.0% on 1 August and 3.7% on 22 August.