For percentage yardstick metrics such as MAPE, it seems that 50% is 50 instead of 0.5.

Should this be the case or could there be a scaling option?

The area this affected me is when integrating with other code where 0.5 is 50% and in tables formatting using scales::percent().

Example code below

```
library(yardstick)
#> For binary classification, the first factor level is assumed to be the event.
#> Use the argument `event_level = "second"` to alter this as needed.
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(scales)
df <- tibble::tibble(
item = c("a"),
forecast = c(12),
actual = c(7)
)
my_metric_set <- metric_set(mpe, mape, smape)
df %>%
group_by(item) %>%
my_metric_set(
truth = actual,
estimate = forecast
)
#> # A tibble: 3 x 4
#> item .metric .estimator .estimate
#> <chr> <chr> <chr> <dbl>
#> 1 a mpe standard -71.4
#> 2 a mape standard 71.4
#> 3 a smape standard 52.6
scales::percent(52.6)
#> [1] "5 260%"
scales::percent(0.526)
#> [1] "53%"
```