Does the Label Encoding method allow for the identification of feature importance after model training?

Does the Label Encoding method allow for the identification of feature importance after model training?: a task in SmolDataEnvs-harbor-train-sandbox: 📊 SmolDataEnvs: Harbor (train) (Harbor dataset). Files (in /home/user/input, no subfolders): - mushrooms.csv