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

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%