Build a stacking ensemble
Build ensemble models
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Write Python code to build a stacking ensemble with base models: [list models] and meta-learner: [model]. Use out-of-fold predictions to train the meta-learner (avoid data leakage), implement with scikit-learn StackingClassifier, and compare performance against the best individual base model.
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Pensez à paramétrer `stack_method='predict_proba'` dans le `StackingClassifier` pour fournir des probabilités au méta-apprenant, ce qui améliore souvent la précision. Ajustez aussi `cv` (ex. 5 folds) pour équilibrer biais et variance dans les prédictions hors-échantillon.
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