Skip to main content

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

iFPRTPRpAUCpAUCcpAUCxc
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%
sum84.8%84.8%84.8%84.8%
wholeAUC = c = 84.8%AUPRC+,− = 72.2, 53.7%