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Evaluate the performance of multiple machine learning models using sampling and ensemble techniques and making a recommendation on whether they should be used to predict credit risk.

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python imbalanced-learning scikit-learn smote random-forest balanced-random-forest credit-risk ensemble-learning oversampling undersampling

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