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Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data

Fig 5

Receiver operating characteristic (ROC) curves for the logistic regression model and the gradient boosting model on the CPOnly (left) and CP+Clinical dataset (right), respectively. Each figure presents three curves: the solid black curve corresponds to the iteration of the nested cross-validation procedure with the median value of area under the curve (AUC), the two dashed lines represent the iterations with the minimum and maximum AUC.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0212665.g005