`fall_out()` and `miss_rate()` (i.e. FPR and FNR) to complement `sens()` and `spec()`

[deschen1]

Not sure if I'm missing something obvious, but I didn't find the false positive rate among the available metrics in yardstick. I know I could simply calculate it by doing 1 - specificity, but it feels like an unnecessary extra step when there are many other metrics available by default in yardstick.

https://yardstick.tidymodels.org/articles/metric-types.html

[DavisVaughan]

# We have:
true positive rate = sensitivity(), recall()
true negative rate = specificity()

# We don't have:
false positive rate = fall_out()
false negative rate = miss_rate()

If we decide to add these:

Since we went with sensitivity() and specificity() instead of true_positive_rate() and true_negative_rate(), I'd advocate for fall_out() and miss_rate() over false_positive_rate() or false_negative_rate() just to be consistent. The docs can mention that they are equivalent