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Fig. 3 | Journal of Translational Medicine

Fig. 3

From: Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia

Fig. 3

The area under the receiver operating characteristic curve (AUC) of the random forest (A), GBM (B), GLM (C), and deep learning (D) models based on all the variables in the training set, internal validation set and the external test set. The area under the precision-recall curve (AUCPR) of the random forest (E), GBM (F), GLM (G), and deep learning (H) models based on all the variables in the training set, internal validation set and the external test set

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