AI, Data Science, Predictions, Machine Learning, Causal Inference.
Mathematically, this can be described using do-calculus, namely: P(Y|T) does not equal P(Y|do(T)). In practice, it means that the XGBoost model will perform well, as long as the distribution of test data is identical to the distribution of the training data. As the correlation between T and Y in