arXiv stat.ML
· Papers
Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
arXiv:2602.07453v2 Announce Type: replace-cross Abstract: Decision tree ensembles are widely used in critical domains, making robustness and sensitivity analysis essential to their trustworthiness. We study the feature sensitivity problem, which asks whether an ensemble is sensitive to a specified subset of features --