T Learner Uplift Model for Individual Treatment Effect (ITE) in Python Manually create two models for meta-learner T-learner: Model data processing, model training, prediction, and ITE/ATE calculation

T Learner Uplift Model for Individual Treatment Effect (ITE) in Python

T-learner is a meta-learner that uses two machine learning models to estimate the individual level heterogeneous causal treatment effect. In this tutorial, we will talk about: Resources for this post: Let’s get started! Step 0: T-learner Algorithm T-learner follows three steps to estimate individual treatment effect (ITE): To learn how to make an individual treatment …

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