Trees and ensembles · MLD-0520
Histogram-based boosting
Boosting that bins feature values to accelerate split search.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Train boosted trees on large tabular datasets.
Original caveat
Binning introduces an approximation.
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 ↗