AICO: Feature Significance Tests for Supervised Learning

ArXi:2506.23396v5 Announce Type: replace-cross Machine learning is central to modern science, industry, and policy, yet its predictive power often comes at the cost of transparency: we rarely know which input features truly drive a model's predictions. Without such understanding, researchers cannot draw reliable Existing tools for assessing feature influence are limited; most lack statistical guarantees, and many require costly re