HyperAI

Explanation Fidelity Evaluation

Explanation Fidelity Evaluation refers to the process of assessing the faithfulness of explanation methods to the underlying model's prediction outcomes. Its goal is to ensure that explanations accurately reflect the model's decision-making mechanisms, thereby enhancing model transparency and interpretability. This evaluation method holds significant application value in model debugging, performance optimization, and increasing user trust.