Fig. 4From: Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopiaThe area under the receiver operating characteristic curve (AUC) of the random forest (A), GBM (B), GLM (C), and deep learning (D) models based on the nine selected 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 the nine selected variables in the training set, internal validation set and the external test setBack to article page