Multiple Treatments Uplift Model Using Python Package CausalML Multiple treatments ITE/CATE and ATE estimation using meta-learner uplift model in Python

Multiple Treatments Uplift Model Using Python Package CausalML

Multiple treatment groups sometimes exist in an experiment to compare with a control group. In this tutorial, we will talk about how to use the python package causalML to build meta-learner uplift models for an experiment with multiple treatments. There are different meta-learner algorithms such as S-learner, T-learner, X-learner, and R-learner. We will use S-learner as an …

Multiple Treatments Uplift Model Using Python Package CausalML Read More »