Intuit Inc.
Method for deriving variable importance on case level for predictive modeling techniques

Abstract:

Techniques are disclosed herein for determining variable importance on a predictive model on a case level. Modeling data associated with a case is received. The modeling data provides input variables, each having a corresponding value for input to a predictive modeling technique associated with the case. A measure of impact for each of the variables is determined using an input shuffling method. Variables having a measure of impact that exceeds a specified threshold are identified. A summary that includes the identified variables is generated.