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WhyLab

Causal inference platform and causality lab for separating correlation from causation

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WhyLab is a causal inference platform that combines AutoML, Double Machine Learning, counterfactual analysis, refutation testing, and AI-assisted decision analysis. It automatically selects between LinearDML and CausalForest models, discovers causal structures with the PC Algorithm, and supports what-if counterfactual simulation. The platform is presented with three example scenarios: credit limit optimization, medical treatment outcome analysis with confounding variables, and personal career skill impact on market value.

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