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Resampling is taking a sample from a sample. Common uses are jackknifing (taking a subsample, eg all values but 1) & bootstrapping (sampling w/ replacement). These techniques can provide a robust estimate of a sampling distribution when it would be difficult or impossible to derive analytically.
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What are RMSE SD and Rsquared SD metrics in resampling results using R package:caret?
When resampling regression models, I get the traditional RMSE and Rsquared metrics, but also RMSE SD and Rsquared SD, for which I haven't found explanation in the manuals or documentations. … : Cross-Validated (2 fold)
Summary of sample sizes: 254, 252
Resampling results
RMSE Rsquared RMSE SD Rsquared SD
4.91 0.721 0.202 0.00304
Cheers
Maria …