We learn about local perturbation methods for interpretation and review SLIME.
"Why Should I Trust You?": Explaining the Predictions of Any Classifier,
Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take action based on a prediction, or when choosing whether to deploy a new model. Such understanding also provides insights into the model, which can be used to transform an untrustworthy …