Machine learning can perform mediation analysis by using algorithms to model and assess indirect effects within a system. Techniques like structural equation modeling (SEM) or path analysis can be applied using machine learning frameworks to estimate and validate the relationships between variables, identifying how an independent variable affects a dependent variable through a mediator.

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