It is a pre-processing approach, first decide the goal then decide what attributes are the most sensitive for that goal.
You may use a new class attribute that represents the (goal), then using a decision tree algorithm you may find the most sensitive attributes for that goal, the higher the attribute in the decision tree the most sensitive it is, and all neglected attributes are the insinsitive ones.