Your question is Feature Selection Techniques. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What techniques do you use for feature selection?
Explain how you choose among filter, wrapper, and embedded methods, including how you prevent data leakage, account for correlated or high-cardinality features, and validate that removing features improves the model. Demonstrate your approach on a provided tabular classification dataset and report the effect of selection on predictive performance, stability, training cost, and interpretability.