The phrase "average model error" is correct and usable in written English.
It can be used in contexts related to statistics, machine learning, or data analysis to describe the mean error of a predictive model.
Example: "The average model error indicates how well the model performs in predicting outcomes based on the given data."
Alternatives: "mean model error" or "typical model error".
Considering uncertainty in the satellite inputs and model parameters, we estimate an average model error of between 0.27 and 0.63 for log10-transformed size-fractionated production, with lower errors for the small size class (<2 μm), higher errors for the larger size classes (2 10 μm and >10 μm), and errors generally higher in oligotrophic waters.
Under a simple random sampling design, the model error variance in an estimate of a species specific AGB Mg ha−1 in a stratum or a population of interest is obtained by scaling an estimate of the average model error in a tree-level estimates of AGB with an estimate of stem density [40].
Under a simple random sampling design, the model error variance in an estimate of a species specific AGB Mg ha−1 in a stratum or a population of interest is obtained by scaling an estimate of the average model error in a tree-level estimates of AGB with an estimate of stem density [ 40].
The model was able to reproduce point, 3D distributed, and bulk measurements at high accuracy, with average model errors within expected measurement errors.
Next, the model average model errors for the chemicals represented by Pareto points and then the model with the smallest average error is selected.
The 3-APMI model averages model errors for all Pareto points in this neighbourhood and selects the one with the smallest average, in this case the NPN model.
The average model residual error for the ten healthy volunteers was found to be 0.29 ± 0.08 mm in the left lung and 0.38 ± 0.14 mm in the right lung for tissue displacements greater than 0.3 mm.
In the experiment, the heights of nine groups of proppant embankments were measured, and the average model prediction error value is 3.43%.
The average model prediction error increased at higher speeds of walking by ~ 0.33 METs per km · h−1.
The average percentage model error was 4.0% on 1 August and 3.7% on 22 August.
The average percentage model error (all depths pooled) was 4.0% on 1 August and 3.7% on 22 August.
