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Table 2 Areas under the ROC curves per-class and the average \(mA_{z}\) for each model

From: The impact of ensemble learning on surgical tools classification during laparoscopic cholecystectomy

Tool

VGG19

Inception v-4

NasNet-A

Ensemble learning

Grasper

96.45

95.16

96.31

96.88

Bipolar

99.67

99.17

99.53

99.81

Hook

99.90

99.79

99.91

99.93

Scissors

98.76

98.11

99.18

99.64

Clipper

99.82

99.37

99.89

99.95

Irrigator

99.41

98.74

99.41

99.85

SpecimenBag

99.62

99.39

99.56

99.81

Average (\(mA_{z}\))

99.09

98.58

99.11

99.41