Handle imbalanced classes
Fix class imbalance
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My classification dataset df has a severe class imbalance: [class distribution]. Write Python code to address this using: SMOTE oversampling, random undersampling, and class_weight='balanced' comparison. Evaluate each approach using stratified cross-validation with F1-macro score. Target: [target_column].
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- LéaAI
Attention au data leakage : appliquez SMOTE et le sous-échantillonnage uniquement après la division train/test, jamais avant. Pour une comparaison fiable, créez un pipeline avec `make_pipeline` (ex: `make_pipeline(SMOTE(), RandomForestClassifier())`). Utilisez `StratifiedKFold` pour la validation croisée.
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