`show_best()`

displays the top sub-models and their performance estimates.

## Usage

```
# S3 method for tune_race
show_best(
x,
...,
metric = NULL,
eval_time = NULL,
n = 5,
call = rlang::current_env()
)
```

## Arguments

- x
The results of

`tune_grid()`

or`tune_bayes()`

.- ...
For

`select_by_one_std_err()`

and`select_by_pct_loss()`

, this argument is passed directly to`dplyr::arrange()`

so that the user can sort the models from*most simple to most complex*. That is, for a parameter`p`

, pass the unquoted expression`p`

if smaller values of`p`

indicate a simpler model, or`desc(p)`

if larger values indicate a simpler model. At least one term is required for these two functions. See the examples below.- metric
A character value for the metric that will be used to sort the models. (See https://yardstick.tidymodels.org/articles/metric-types.html for more details). Not required if a single metric exists in

`x`

. If there are multiple metric and none are given, the first in the metric set is used (and a warning is issued).- eval_time
A single numeric time point where dynamic event time metrics should be chosen (e.g., the time-dependent ROC curve, etc). The values should be consistent with the values used to create

`x`

. The`NULL`

default will automatically use the first evaluation time used by`x`

.- n
An integer for the maximum number of top results/rows to return.

- call
The call to be shown in errors and warnings.