Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science
Machine learning models have become a powerful tool in materials science, accelerating the discovery process by accurately predicting molecular properties. However, the black‐box nature of many of these models makes it difficult to understand or validate their predictions. Consequently, explainable artificial intellige...