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The black ROC curves represent the RF model estimates based on model training. The RF model AUC = 0.876 for BED20 and AUC = 0.601 for the BED40 RF model. The gray curves represent the returned bootstrapped logistic regression produced using the top two features, with an average AUC = 0.845 for BED20 and AUC = 0.567 for BED40-based features.
