Fig. 2From: Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health dataInternal AUROC differences across all prediction problems and databases for each sampling strategy and classifier. A positive difference means original data model had a lower AUROC, and a negative difference means original data model had a higher AUROCBack to article page