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Table 5 The AUC scores with their lower and upper limits using weighted voting

From: Assessment of the functional severity of coronary lesions from optical coherence tomography based on ensembled learning

No. of feat

AUC using crisp labels

AUC using class probability

1

0.811 (0.725,0.897)

0.81 (0.724,0.896)

2

0.826 (0.743,0.909)

0.796 (0.707,0.885)

3

0.814 (0.729,0.9)

0.826 (0.743,0.909)

4

0.824 (0.74,0.907)

0.786 (0.695,0.877)

5

0.828 (0.745,0.91)

0.738 (0.64,0.836)

6

0.852 (0.775,0.929)

0.807 (0.64,0.894)

7

0.815 (0.73,0.901)

0.822 (0.739,0.906)

8

0.856 (0.78,0.933)

0.78 (0.689,0.872)

9

0.832 (0.75,0.914)

0.784 (0.693,0.875)

10

0.815 (0.73,0.901)

0.825 (0.742,0.908)

11

0.81 (0.724,0.897)

0.783 (0.691,0.874)

12

0.822 (0.738,0.906)

0.786 (0.696,0.877)

13

0.856 (0.78,0.932)

0.815 (0.73,0.901)