Data Science
Final Project Part 6: Feature Importance
Senior Data Analyst
May 26, 2026
5 min read
Feature Importance
importance = pd.Series(best_model.feature_importances_, index=X.columns)
importance.sort_values(ascending=False).head(10).plot(kind='barh')
plt.title('Top 10 Features for Churn Prediction')
plt.show()
*Day 147: Business Recommendations.*