What is the mean cross-validation accuracy of the best-performing model before feature scaling?
What is the mean cross-validation accuracy of the best-performing model before feature scaling?: a task in SmolDataEnvs-harbor-train-sandbox: 📊 SmolDataEnvs: Harbor (train) (Harbor dataset). Files (in /home/user/input, no subfolders): - data.csv
The task
Files (in /home/user/input, no subfolders): - data.csv