What is sensitivity analysis in model evaluation pipelines?

Sensitivity analysis measures how model outputs change with input or parameter perturbations.

Sensitivity analysis evaluates stability of model predictions by systematically perturbing inputs, features, or hyperparameters. It helps identify fragile features, unstable regions, and over-reliance on specific inputs. Techniques include gradient-based sensitivity, feature ablation, and perturbation testing.