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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.
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
DavisVaughan
changed the title
[Feature request] Adding false positive rate (and other basic metrics) as metricsfall_out() and miss_rate() (i.e. FPR and FNR) to complement sens() and spec()Oct 27, 2022
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
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