The most popular methods for measuring importance of the variables in a black
box prediction algorithm make use of synthetic inputs that combine predictor
variables from multiple subjects. These inputs can be unlikely, physically
impossible, or even logically impossible. As a result, the predictions for such
cases can be based on data very unlike any the bla