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. 2024 Jul 1;8(2):437–465. doi: 10.1162/netn_a_00361

Table 2. .

Results of the classification analyses for the validation cohort

Variable True negatives: SF True positives: NSF Acc. Prec. Sensitivity F1 AUC
S(Rop) 19 0.73 6 0.75 0.74 0.46 0.75 0.57 0.71
Ov(RA, Rop) 18 0.69 6 0.75 0.71 0.43 0.75 0.55 0.69
δIR(RA) 21 0.81 6 0.75 0.79 0.55 0.75 0.63 0.78

Note. Results correspond to the optimal points of the ROC curves according to the Youden criterion to account for class imbalance. For each group (SF, NSF), we show the number of correctly identified cases by absolute number and relative frequency. The remaining columns correspond respectively to the accuracy (Acc.), precision (Prec.), sensitivity, F1 statistic, and area under the curve (AUC).