Leave-One-Out Cross-Validation
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, ...)
data |
A data frame. |
... |
Not currently used. |
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.
loo_cv(mtcars)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.