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A summary of errors for one, two, and four sensors, categorized by glucose levels, is presented in Table 1.
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The summary of error calculus are shown in Table 7.
Additional file 10, Table S4 shows summary statistics of errors in the estimation of population average ancestry contribution, where the 'true' or gold standard value, 78%, was estimated by a collection of 3299 AIMs for the CEU and YRI population, all of which were selected as top 10% AIMs by at least one of the five measures.
Table 1 Summary of mean errors of both methods on both datasets Dataset Method Transl.err.err
The metric provides a "summary" of the errors of the predictions.
A summary of the errors associated with these 249 cases is given in table 1.
A summary of mean errors for all OPs and both D values in the 5% added noise case are shown in Table 2 >.
In addition to the graphics, a table of the summary of the error estimation and relative error of the estimation is also provided (see Table 1).
A summary of the error for the existing correlations found in Emera (2006) is summarized in Table 4.
A summary of the error for the existing correlations reported in Emera (2006) is summarized in Table 3.
In keeping with the principles of framework analysis, a distilled summary of each error was entered into a chart to promote abstraction and synthesis [ 22].
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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