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Table 3 Normalized area measures \( \overset{\sim }{pAUC} \), \( \overset{\sim }{pAUC_c} \) and sPA are shown for 3 parts of an ROC curve using a support vector machine classifier on 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 \( \overset{\sim }{pAUC} \) \( \overset{\sim }{pAUC_c} \) sPA
1 [0.00, 0.33] [0.00, 0.53] 64.6% 84.5% 78.8%
2 [0.33, 0.66] [0.53, 0.88] 89.3% 79.8% 89.4%
3 [0.66, 1.00] [0.88, 1.00] 99.9% 90.1% 99.7%