Trees and ensembles · MLD-0853
Out-of-bag evaluation
Evaluating each bagged example using models whose bootstrap samples excluded it.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Estimate random-forest performance without a separate validation split.
Original caveat
It does not replace independent testing after extensive tuning.
Context and aliases
Level: Intermediate. Stages: Training · Inference · Evaluation.
Tags: ML.
Aliases: OOB evaluation.
Related concepts
Original references
- scikit-learn: ensemble methods ↗ · Reference link
- scikit-learn: decision trees ↗ · Reference link
- Original reference URL ↗