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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%