Correlation Is Not Enough: Selecting Features Without Throwing Away Predictive Information

Dropping every feature whose correlation with the target is below 0.1 feels like hygiene. It is often the opposite: you are deleting signal your model could have used, and you will never see it in your metrics because the comparison you…