Model Diagnostics, Machine Learning.
perturbation Evaluating model robustness across various perturbations holds significant importance. In cases where different perturbations yield conflicting conclusions about the model’s robustness, further diagnostic analysis is warranted. Such analysis may include robustness tests based on