Are random variables in causal inference equivalent to features in ML?
My Answer: yes.
My answer after reading ChatGPT: yes and no. They both represent aspects/elements of a data set or a model, but they are established under different contexts and serve different purposes. Random variables in CI are mainly used to discover causal relationships among them while features are used to make predictions, their relationships are less of a focus.
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