imbalabced data set score after smote
You can use accuracy for the dataset after using SMOTE since now it shouldn't be imbalanced as far as I know. You should try the other metrics though for a more detailed evaluation (classification_report_imbalenced combines some metrics)
Is it correct to use 'accuracy' as a metric for an imbalanced data set after using oversampling methods such as SMOTE or we have to use other metrics such as AUROC or other presicion-recall related metrics?