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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