Predictive Modeling › Ensemble Methods (Bagging & Boosting)

What is Ensemble Methods (Bagging & Boosting)

Beginner

Answer

Ensemble methods combine predictions from multiple models to produce a more accurate result than any single model alone, with bagging and boosting being two common approaches.

Real-world example A random forest, which uses bagging, and a gradient boosting model are both common ensemble methods used to improve prediction accuracy.

Common follow-ups: What is Predictive Modeling, How is Ensemble Methods (Bagging & Boosting) evaluated in practice, What tools are commonly used for Ensemble Methods (Bagging & Boosting)

Predictive Modeling topics: Introduction to Predictive Modeling Time Series Forecasting Regression-Based Prediction