Ensure stability of model performance.
When your data changes so can your models predictions. Ensure accuracy by monitoring alteration.
Strengthen intuition for feature selection.
Gain insights into how features influence model performance.
Derive a set of features and attributes for consistent prediction.
Return the score that indicates the presence of features & instances that trick the model outcome.