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 SmolDataEnvs-harbor-train (Harbor dataset). Files (in /home/user/input, no subfolders): - pred2016l.csv - pred2017l.csv
The task
Files (in /home/user/input, no subfolders): - pred2016l.csv - pred2017l.csv
Part of FineEnvs/SmolDataEnvs-harbor-train.