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The importance of each variable in the random forest (RF) model using permutation feature importance (PFE), which generates an ordered list of variables along with their importance values: Variables with higher ranks have more impact on the model predictions. AUC-ROC: area under the receiver operating characteristic curve; FSH: follicle-stimulating hormone; LH: luteinizing hormone.
