Sampling Strategy
Imbalanced Class Management
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My dataset of [SIZE] observations shows a class imbalance: [MAJORITY_CLASS] represents [%] and [MINORITY_CLASS] represents [%]. My goal is [BUSINESS_OBJECTIVE]. Compare resampling strategies (oversampling, undersampling, SMOTE) and recommend the best approach with its parameters.
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Ajoutez des métriques spécifiques (F1, rappel, précision) pour évaluer le compromis entre réduction du biais et variance. Si la classe minoritaire est très petite (<10 %), SMOTE peut générer du bruit ; testez d'abord un suréchantillonnage simple avec class_weight='balanced' dans votre modèle.
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