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?
Diese Übung ist Teil des Kurses
Extreme Gradient Boosting with XGBoost
Interaktive Übung
Setze die Theorie in einer unserer interaktiven Übungen in die Praxis um
