I am looking for a significance test for the Jaccard Distance (JD).
As an example, I have two datasets as follows:
Baseline: $\left| A\bigcap B \right|=57;\ \left| A\bigcup B \right|=275\quad \therefore \ JD=0.7927$
Evaluation: $\left| A\bigcap B \right|=126;\ \left| A\bigcup B \right|=433\quad \therefore \ JD=0.7090$
Is there a way to determine whether the JD at evaluation is significantly different from the baseline?
Or do I simply use the classical z-test of proportions? The z-test assumes that there is a significant difference from the baseline.