URL details: causalml.readthedocs.io/en/latest/methodology.html#tree-based-algorithms
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Methodology — causalml documentation
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A meta-algorithm (or meta-learner) is a framework to estimate the Conditional Average Treatment Effect (CATE) using any machine learning estimators (called base learners) [16] . A meta-algorithm uses either a single base learner while having the treatment
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