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sm.fit_resample(X, y) Again, we split the dataset, train the model and predict whether the samples in the testing dataset should be considered fraudulent or not. X_train, X_test, y_train, y_test = train_test_split(X_res, y_res, test_size=0.2, random_state=42) rf =