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Discover Ludwig"bootstrap samples" is a correct and usable phrase in written English.
It is often used when discussing statistical analysis techniques such as bootstrapping. For example, "By running 500 bootstrap samples, we were able to accurately predict the results of the experiment."
Exact(60)
where the asterisks denote that the statistics are obtained from bootstrap samples.
Uncertainty in the calculated feedback is estimated using a bootstrapping approach, based on 500 bootstrap samples.
The robustness of the ML trees was statically evaluated by bootstrap analysis with 1000 bootstrap samples.
The error bars show the standard error in the estimated feedback (based on 500 bootstrap samples).
Using this method, multiple bootstrap samples are drawn from the original data set.
Bootstrap samples were averaged (custom R code) and gene expression abundance (transcript per million [TPM]) was estimated by tximport (version 1.2.0 92 followed by averaging over biological replicates.
Bootstrap samples suggested that PUFA-D decreased average Sf 20 to 60 cholesterol levels (bootstrap P <.05).
In addition we illustrate the insights gained by the analyst into the discovered FTSs from the bootstrap samples.
P-values were based on 100 bootstrap samples.
The bootstrap samples are twice the number of measurements.
Each of the bootstrap samples is considered as new data.
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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