Leave-one-out (LOO) cross-validation uses one data point in the original set as the assessment data and all other data points as the analysis set. A LOO resampling set has as many resamples as rows in the original data set.
loo_cv(data,...)
Arguments
data: A data frame.
...: These dots are for future extensions and must be empty.
Returns
An tibble with classes loo_cv, rset, tbl_df, tbl, and data.frame. The results include a column for the data split objects and one column called id that has a character string with the resample identifier.