Your question is Feature Engineering for ML Models. 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).
You are given a supervised learning problem where the raw inputs are not enough for the model to learn the pattern well. The question is how you would turn those inputs into better features, and why that changes model quality.
Describe the process of feature engineering and its importance in machine learning.