my thoughts -  1. decide what is your target index (how good is your model) - i tend to use the gini (or sommer'sD) 2. re estimate the model n times (n is the number of variables in the model), every time eliminate one var, the diference in Gini between the original model and the new one (var i eliminated) is the contrebution of var i 3. to make the resaults more "nice" you can calibrate them so that the sum will be 1 (100%)   its not exactly 'relative contribution' but i think its as close as possiable 🙂   ... View more