Jagath Samarabandu

Evaluating the Robustness of Counterfactual Generating Methods for Tree-Based Ensembles

Counterfactuals (CFs) are a widely studied approach for explaining machine learning models. They aim to identify a set of minimal and meaningful perturbations in input features required to alter a prediction of a model, thereby offering insights into decision boundaries. For instance, a CF may describe the changes need...