Research proposes visual analytics tools for evaluating and selecting feature attribution methods, indicating more effective model explanations.
Feature attribution methods explain model predictions by assigning importance to input features. Choosing the most suitable method is difficult due to inconsistencies and a lack of universal solutions. Our research focuses on proposing tools and methodologies for evaluating, comparing, and selecting these methods.
No takes yet. Share an insight, caveat, or question.
Priscylla Silva (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: