When Do Causal ML Models Beat LM / GLM / GBM?
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Summary
Who this is for: Data scientists and analysts who need to estimate what an intervention does (a call, a discount, a campaign) and want to know when causal ML methods are worth using over LM, GLM, and GBM. The basis is nine simulations with a known true effect, each with 40 repetitions.
The five…
The skinny
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