Trees and ensembles · MLD-0022
AdaBoost
An ensemble method that adjusts example emphasis according to earlier learners' errors.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Combine weak classifiers on a labeled dataset.
Original caveat
Noisy or mislabeled examples can receive excessive attention.
Context and aliases
Level: Intermediate. Stages: Training · Inference · Evaluation.
Tags: ML.
Aliases: Adaptive boosting.
Related concepts
Concepts linking here
Original references
- scikit-learn: ensemble methods ↗ · Reference link
- scikit-learn: decision trees ↗ · Reference link
- Original reference URL ↗