XGBoost plot_importance doesn’t show feature names

If you’re using the scikit-learn wrapper you’ll need to access the underlying XGBoost Booster and set the feature names on it, instead of the scikit model, like so:

model = joblib.load("your_saved.model")
model.get_booster().feature_names = ["your", "feature", "name", "list"]
xgboost.plot_importance(model.get_booster())