Predictive Modeling › Ensemble Methods (Bagging & Boosting)

What are best practices for Ensemble Methods (Bagging & Boosting)

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Answer

When working with Ensemble Methods (Bagging & Boosting), start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.

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