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Using XGBoost

XGBoost is a powerful library that scales very well to many samples and works for a variety of supervised learning problems. That said, as Sergey described in the video, you shouldn't always pick it as your default machine learning library when starting a new project, since there are some situations in which it is not the best option. In this exercise, your job is to consider the below examples and select the one which would be the best use of XGBoost.

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