Familywise Feature Importance Stability in Chemical and Materials Machine Learning
This work compares 26 feature importance pipelines spanning data-driven, model-based, and formula-based analyses on a metal-support interaction data set anchored by an explicit SISSO equation, and examines whether the same qualitative behavior recurs in high-entropy-alloy and halide perovskite data sets.