Data Science, Causal Inference, Machine Learning, Optimization, Notes From Industry.
model”. An arbitrary machine learning model is used to predict the outcome using the treatment, confounders and other covariates as features. This model is then used to estimate the difference between the potential outcomes under different treatment conditions (which gives us the treatment effect).