Kind of depends on the method, though it’s all already re-scaled to the output variable. It basically calculates the variance explained over a parameter space. The percentage of the variance explained in the output with respect to input x does not really care about the relative size of the space of x, just how much y varies as you change x. Internally, many of the methods re-scale down to a [0,1]^n grid internally anyways.
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