Your English writing platform
Discover LudwigSuggestions(1)
Exact(4)
In the experiment, the heights of nine groups of proppant embankments were measured, and the average model prediction error value is 3.43%.
The resulting regional regression models summarized for major US water resources regions 1 8, exhibited prediction R2 values ranging from 76.9% to 92.7% and corresponding average model prediction errors ranging from 56.5% to 124.3%.
The average experimental water vapour permeability δexp is 4.83 × 10−4 and 3.86 × 10−4 (g/m d Pa) respectively for untreated and treated PL stone, while the average model prediction δIFU is 4.87 × 10−4 and 3.77 × 10−4 (g/m d Pa) respectively for untreated and treated PL stone.
The average model prediction error increased at higher speeds of walking by ~ 0.33 METs per km · h−1.
Similar(56)
On average, model predictions tended to have a discrete tendency to underestimate the Hct changes (-0.5% points of bias).
The optimal estimate of the molecule concentration in the system then neither coincides with the average model predictions (due to system noise) nor with the average experimental measurements (due to measurement noise).
Since the EQS are annual averages, model predictions, and sample comparisons, should be made on an annual average basis.
Healing times were simulated from the average flux model prediction for healing time, using flux and %TBSA as predictors.
In our earlier work [8] an automated partial least squares (PLS) algorithm was used to process data from regularly tessellated 3D-SDAR fingerprints and to derive averaged (composite model) predictions from 100 randomized training/hold-out test set pairs.
Estimates from the resulting 10 validation datasets were combined with Rubin's rule (for calculating AUCs) and with averaging of model predictions (for constructing calibration plots) [ 25].
Empirical Bayes estimates (EBE) are weighted averages of model predictions and observations of E50s and can be better estimates than the fitted model when there is a lack of fit.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com