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result is as follows: Mean Accuracy: 0.9805 Mean Precision: 0.6499 Mean Recall: 0.8433 The accuracy and precision metrics might decrease, but we can see that the recall metric is higher, it means that the model performs better to correctly predict the minority class label by using SMOTE-Tomek Links