Eda, Exploratory Data Analysis, Pandas, Python.
feature_importances_sorted: print(f"Feature {feature_name}: {importance}") df_feature_importances['rank'] = range(1, len(df_feature_importances)+1) return df_feature_importances # Decision Tree Classifier Feature Importance from sklearn.tree import DecisionTreeClassifier dtc_fi =