Your question is Overfitting and Prevention. 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).
Explain the concept of overfitting and how to prevent it in machine learning models.
Use a practical classification experiment to show how a model can memorize training data, diagnose the resulting generalization gap, and compare at least two prevention techniques. Discuss how you would select model complexity and evaluate performance without leaking information from the test set.
