Causal Inference, Machine Learning, Azure, Microsoft, Data Science.
defined as: CATE = E[Y(T = 1)|X = x] — E[Y(T = 0)|X = x] where Y(T = 1)|X = x and Y(T = 0)|X are the potential treated and control outcomes of the subgroup with X = x respectively. CATE is also known as the heterogeneous treatment effect. Individual treatment effect (ITE): At the individual level,