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Figure 2 | Virology Journal

Figure 2

From: A computational approach to identify point mutations associated with occult hepatitis B: significant mutations affect coding regions but not regulative elements of HBV

Figure 2

True positive vs . false positive rate plots of different models trained on the full data set. A higher "Area Under the Curve" (AUC) means a higher chance to classify a random isolate from the occult group as a true occult hepatitis, as compared to the chance to classify a random isolate from the wild type group as an occult hepatitis. RF: Random Forest; LR: Logistic Regression; DT: Decision Tree.

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