# Is there a commonly-used name for “one minus sensitivity” and “one minus specificity” of a test, such as a Covid-19 or pregnancy test?

I am looking at a test strategy for Covid-19, where I want to combine two tests with different sensitivity and specificity.

Visualizing this would probably make sense in a "1-sensitivity" vs "1-specificity" graph. Is there a name for these quantities?

Informally (in particular in my head) I talk about false negative vs false positive rate, but I have already realized this is ambigous, since people will have different intuitions what I am normalizing to.

You can refer to $$1-$$ Sensitivity as the "false negative rate" (aka $$\beta$$ error or Type II error), and $$1-$$ Specificity as the "false positive rate" (aka $$\alpha$$ error or Type I error).