Trees and ensembles · MLD-1316
Voting ensemble
Combining classifiers through class votes or averaged class probabilities.
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 classifiers with complementary errors.
Original caveat
Probability voting depends on calibrated or comparable scores.
Context and aliases
Level: Intermediate. Stages: Training · Inference · Evaluation.
Tags: ML.
Aliases: None recorded.
Related concepts
Original references
- scikit-learn: ensemble methods ↗ · Reference link
- scikit-learn: decision trees ↗ · Reference link
- Original reference URL ↗