Simran Sharma

Beyond Feature Importance: Investigating Predictive Sensitivity in Machine Learning Models

Feature importance is widely used in machine learning to assess the contribution of individual predictors to model performance and support the interpretation of model behaviour. However, it remains unclear whether features identified as highly important are also those to which a model is most sensitive when their value...