validation_split() takes a single random sample (without replacement) of
the original data set to be used for analysis. All other data points are
added to the assessment set (to be used as the validation set).
The proportion of data to be retained for modeling/analysis.
strata
A variable that is used to conduct stratified sampling to
create the resamples. This could be a single character value or a variable
name that corresponds to a variable that exists in the data frame.
breaks
A single number giving the number of bins desired to stratify
a numeric stratification variable.
...
Not currently used.
Value
An tibble with classes validation_split, rset, tbl_df, tbl,
and data.frame. The results include a column for the data split objects
and a column called id that has a character string with the resample
identifier.
Details
The strata argument causes the random sampling to be conducted
within the stratification variable. This can help ensure that the number of
data points in the analysis data is equivalent to the proportions in the
original data set.