Causal Inference, Causality, Machine Learning, Validation, Application.
the values are random after the shuffling. The idea here resembles the well-known permutation method that is used to come up with feature-importance, where the procedure breaks the relationship between feature and target, with the drop in model score indicative of how sensitive the model is to the