Sentence examples for higher errors for from inspiring English sources

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.

As the first part of Table 1 shows, the percentage errors obtained using the SWEDEM and the SWPDEPM also were very low; however, the second part of Table 1 shows SWEDEM and SWPDEPM with higher errors for the amplitude than with the other basic and advanced parametric methods.

They concluded that the implicit modelling of the physical processes employed in the NN predicts better than the explicit modelling employed in the hydrodynamic or statistical methods, although in fact their results gave higher errors for predicted wind direction.

Although the Li et al. model attempts to control for factors that might increase error (such as scanner bias), the errors between the two approaches are comparable (Fig. 1B) with GLAM having slightly higher errors for target concentrations less than 4 pM, but much lower errors for target concentrations >4 pM.

For the same amount of transverse distortion, this leads to higher errors for mismatched maps.

Classifiers trained on either GSE4475 (strict) or GSE4732_p1 produce zero error rate for DLBCL cases but higher errors for BL: however, this is a relatively small data set and these findings may not be significant.

We validated this higher accuracy by computing the MAPE across all data points for both models, and found a 20%to50%0% higher error for the models using administrative boundaries.

The results are shown in Figure 9, where the 4 × 4 MIMO system with L = 8 has a higher error for both FE-1 and FE-2.

Note that if the model is trained with uniform weights, our features can achieve a higher (R^{2}=0.47) and mean absolute error of 9.3 years, but at the expense of imbalance in predictions with higher error for less frequent ages.

However, SSW does not appear to have such a strategy and so we see a higher error for it.

The proportional difference between error values and measurement values in flexion and extension would, therefore, result in much higher error for flexion measures.