Trees and ensembles · MLD-0402
Extra Trees
A tree ensemble that increases randomness in split thresholds and feature selection.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Fit a fast randomized tabular baseline.
Original caveat
More randomness can increase bias while reducing variance.
Context and aliases
Level: Intermediate. Stages: Training · Inference · Evaluation.
Tags: ML.
Aliases: Extremely randomized trees.
Related concepts
Concepts linking here
Original references
- scikit-learn: ensemble methods ↗ · Reference link
- scikit-learn: decision trees ↗ · Reference link
- Original reference URL ↗