Comment by pizza

Looks like you could do the opposite: use this measure as a proxy for correlation between input data X and Y, and seeing if increased correlation between X and Y is superior to just prediction of Y without X. Maybe model the correlation value going over a threshold as a sequence of Bernoulli trials