Stacking & Voting
Stacking & Voting
Ensemble methods that combine multiple models' predictions.
🔗 Related:
- Voting Classifier — Hard and soft voting
- Stacking & Blending — Meta-learner approaches
- Random Forest | Extra-Trees — Bagging ensembles
- XGBoost | LightGBM | CatBoost | AdaBoost | Gradient Boosted Trees (sklearn GBM) — Boosting ensembles
- Voting Classifier (hard and soft)
- Stacking & Blending