Table 6 Ablation study of the developed model.

From: Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images

Metrics

StackVDRNet-VGG

StackVDRNet-NoFusion

StackVDRNet-Shallow

StackVDRNet-NoRHDAO

RHDAO-StackVDRNet

Accuracy

89.43

90.40

91.50

93.94

97.06

Recall

89.41

90.47

91.39

93.83

97.00

Specificity

89.45

90.33

91.62

93.97

97.07

Precision

89.71

90.59

91.81

75.67

86.87

FPR

10.55

9.67

8.38

6.03

2.93

FNR

10.59

9.53

8.61

6.17

3.00

NPV

89.45

90.33

91.62

98.70

99.39

FDR

10.29

9.41

8.19

24.33

13.13

F1-Score

89.56

90.53

91.60

83.78

91.65

MCC

78.86

80.80

83.00

80.81

90.07