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Imbalance DataSet for Tabular AutoML

Hi, I would like to know if in case of having a tabular database,  with binary data (class 0 and Class 1), that has an imbalance between class 0 and class 1, as it occurs in scenarios of fraud in financial transactions.

Does AutoML solves automatically the imbalance situation? Or is it possible to add SMOTE or ADASYN to the AutoML model?  Any comments to advice more than appreciated

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