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y = df['Class'] We instantiate an instance of the SMOTE class. It’s worth noting that, by default, it will ensure that there are an equal number of positive samples as negative samples. sm = SMOTE(random_state=42, k_neighbors=5) We apply the SMOTE algorithm to the dataset as follows: X_res, y_res =