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Table 2 Area measures and c statistics are shown for 3 parts of an ROC curve i = {1 . . . 3} as well as the whole curve, for a classifier, a support vector machine, applied to Ljubljana breast cancer remission data. Best values per column are shown in bold font

From: A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

i FPR TPR pAUC pAUCc pAUCx c
1 [0.00, 0.33] [0.00, 0.84] 21.3% 49.5% 77.7% 49.5%
2 [0.33, 0.66] [0.84, 0.95] 29.5% 17.4% 5.3% 17.4%
3 [0.66, 1.00] [0.95, 1.00] 34.0% 17.9% 1.8% 17.9%
sum 84.8% 84.8% 84.8% 84.8%
whole AUC = c = 84.8%AUPRC+,− = 72.2, 53.7%