Imblearn RandomOverSampler

from imblearn.over_sampling import RandomOverSampler

ros = RandomOverSampler(sampling_strategy=sampling_strategy)
X_res, y_res = ros.fit_resample(binary_X, binary_y)
ax = y_res.value_counts().plot.pie(autopct=autopct)
_ = ax.set_title("Over-sampling")

Source: imbalanced-learn.org

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