What is the number of features used in the XGBoost model after preprocessing?
What is the number of features used in the XGBoost model after preprocessing?: a task in data agent rl environment train (Harbor dataset). You have access to the following files: - pred2016l.csv - pred2017l.csv All of the files are located only in the '/home/user/input' folder without any folders…
The task
You have access to the following files: - pred2016l.csv - pred2017l.csv All of the files are located only in the '/home/user/input' folder without any folders inside 'input'. Do not use '/kaggle/input/' folder as it does not exist.