AUROC and AUPRC values as a function of the number of variables for predicting revision ESS.
收藏NIAID Data Ecosystem2026-03-13 收录
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We selected variables using the sequential forward selection (SFS) method. Three models were used and the classifiers in these models were the logistic regression (LR), gradient boosting (GB) and random forest (RF) for predicting revision ESS. Table 4 (AUROC values) is related to Fig 4.
创建时间:
2022-04-29



