AI, Machine Learning, Causal Inference, Manufacturing.
estimate the underlying noise in the data. This often yields more accurate predictions of the target variable. However, CounterfactualRCA also requires the scores of nodes on the same causal path to be disentangled. This can be done using a rule-based approach and an empirical similarity distance