Multiple Treatments Uplift Models for Binary Outcome Using Python CausalML Multiple treatments ITE/CATE and ATE estimation using meta-learner uplift models S-learner, T-learner, and X-learner in Python for binary outcome data

Multiple Treatments Uplift Models for Binary Outcome Using Python CausalML

Multiple treatments sometimes are compared with a control group and with each other in an experiment. The experiment outcome can be continuous results such as sales or binary results such as a response to a promotion. In this tutorial, we will talk about how to use the python package causalML to build meta-learner uplift models for an …

Multiple Treatments Uplift Models for Binary Outcome Using Python CausalML Read More »