Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection

In three linesEmpirical study detecting natural experiments (implicit interventions) in real-world datasets using causal discovery and feature selection. Authors validate on synthetic data then evaluate 50+ real datasets, showing that treating data as interventional rather than observational improves model performance.

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