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The outer plates ( > 60 Å ) tend to exhibit larger errors of typically ∼ 0.02-0.08 Å.
1-parameter LPMs calibrated on a single atmospheric tracer lead to substantially larger errors of the order of 10 years, while 3-parameter LPMs calibrated with a third atmospheric tracers (SF6) do not improve the prediction capabilities.
When evaluating the model performance by means of the root mean square error (RMSE), a measure of individual prediction errors (Table 3 ), the above conclusions were largely confirmed: the steady-state methods (Methods 1 and 2) provided the largest RMSE with overall larger errors of predictions based on FPG than those based on MPG.
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It is shown that, when the same data length is given, larger error of modal identification results can be clearly observed for the method using output data only; while additional use of input data will significantly reduce estimation variance.
Hence, concerning computing time, the DBFDA of λ 1 ∗ is superior to the LBFDA of this quantity, which overcompensate the slightly larger error of the former for relevant values of h.
However, in situ probe spacing is prone to change resulting in large errors of measured soil heat capacity c.
These results show that the large errors of the semi-empirical calculation are mainly caused by the undercuts, i.e., flexural stiffness degradation at both clamped ends.
Significant number of children had large errors of weight estimation.
This phenomenon also explains the large errors of arms (i.e., IDs 7 and 10).
The position errors of arms and forearms were not relatively large, but the combination of errors produces the second largest errors of rotation angles at the arms.
The largest errors of models were calculated using ECFP4, MolPrint and Inductive descriptors, which had a cross-validation RMSE of >50 °C for the training set.
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