I’m following some tutorials on doing data engineering and feature engineering using boston dataset sample and here is an example where I’m trying the different impute strategy with cross validation to actually identify which impute strategy delivers the best model performance. To my surprise, all of them delivered the exact same results. How is this possible? Here is what I have tried: