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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines

Fig. 1

Receiver-operator characteristic (ROC) curves for a HBV and b HCV summarising the six models under consideration for improving prediction for imbalanced data. The models are: Downsize = simple downsizing; Downsize RF = simple downsizing with random forest variable selection; MDS = multiple downsizing; MDS RF = multiple downsizing with random forest variable selection; SMOTE = Synthetic Minority Oversampling; SMOTE RF = Synthetic Minority Oversampling with random forest variable selection

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