Your question is Improving Model Performance. 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).
Discuss a time you improved a model’s performance.
Explain the original problem, how you established a reliable baseline, which experiments you ran, and how you determined whether the improvement was genuine. Address data quality, feature engineering, model selection, hyperparameter tuning, validation design, and any production or business constraints relevant to your example. Quantify the before-and-after results using appropriate metrics, and explain the tradeoffs introduced by your changes.
