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The validation root mean square error of prediction (RMSEP) was about 30% of the mean predictions for both OK and UK.
Posterior mean predictions for September extent in 2012, 2013 and 2014 are respectively 3.88, 3.78 and 3.68mn k m2.
In Table 2 presents the overall and subgroup univariate mean predictions for AOL and the observed OS in patients who underwent surgery and received 5-FU based chemotherapy.
The mean predictions for GHSV and RMH patients carrying a BRCA1 or BRCA2 mutation were 0.22 and 0.19, respectively, as determined by either the BRCAPRO or the MYRIAD II statistical model [ 25].
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Prediction performance on the absolute HbA1c scale was evaluated by comparing mean predictions and mean observations for each method and for each treatment arm at 26 28 weeks, depending on study.
The mean prediction accuracy for the 10 iterations was recorded for each classification method using n genes.
The prediction errors of oil flow rate and oil saturation for were less than 10% at all times, especially, the mean prediction accuracy for oil flow rate could reach 1.9%, and the mean accuracy for the oil saturation was about 2.0%.
A positive mean prediction error for NOx (i.e. overestimation) was established for all model types and practically all validation techniques.
For Douglas-fir trees, the Cervera (1973), Kozak (1988), and Kozak (2004) models produced positive mean prediction biases for dataset I; i.e., these model under-predicted the diameter inside bark along the bole for dataset I.
Additionally, the mean prediction scores for the hits and the non-hits appear very close for the all phenotype model for all variants in the GWAS Catalogue.
Confidence intervals for mean predictions were calculated to assess prediction errors.
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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