Your question is Validate Model Before Deployment. 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've trained a machine learning model and offline results look promising. Before putting it into production, your team wants a clear validation process that checks whether the model is reliable and fit for real use.
How do you validate a machine learning model before deployment?