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The SMOTE implementation provided by imbalanced-learn, in python, can also be used for multi-class problems. Check out the following plots available in the docs: Also, the following snippet: from imblearn.over_sampling import SMOTE, ADASYN X_resampled, y_resampled = SMOTE().fit_resample(X, y) print(sorted(Counter(y_resampled).items())) [(0, 4674), (1, 4674)...

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