Which feature extraction technique achieves 100% accuracy while reducing the number of features from 117 to 1?
Which feature extraction technique achieves 100% accuracy while reducing the number of features from 117 to 1?: a task in SmolDataEnvs-harbor-train-sandbox: 📊 SmolDataEnvs: Harbor (train) (Harbor dataset). Files (in /home/user/input, no subfolders): - mushrooms.csv
The task
Files (in /home/user/input, no subfolders): - mushrooms.csv