Trees and ensembles · MLD-0131
Boosting
Sequentially adding models to improve an ensemble's objective or correct prior weaknesses.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Build a strong predictor from shallow trees.
Original caveat
Boosting is not the same as simple model averaging.
Context and aliases
Level: Intermediate. Stages: Training · Inference · Evaluation.
Tags: ML.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- scikit-learn: ensemble methods ↗ · Reference link
- scikit-learn: decision trees ↗ · Reference link
- Original reference URL ↗