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When is tuning your model a bad idea?

Now that you've seen the effect that tuning has on the overall performance of your XGBoost model, let's turn the question on its head and see if you can figure out when tuning your model might not be the best idea. Given that model tuning can be time-intensive and complicated, which of the following scenarios would NOT call for careful tuning of your model?

This exercise is part of the course

Extreme Gradient Boosting with XGBoost

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