Table 17 DAC-GAN 5-Fold consolidated cross-validation performance.

From: Deep atrous context convolution generative adversarial network with corner key point extracted feature for nuts classification

MFResNet18 Fold

Accuracy (%)

Sensitivity (%)

Specificity (%)

Precision (%)

Recall (%)

F1-Score (%)

IoU (%)

Fold 1

99.78

99.84

99.89

99.80

99.84

99.82

99.60

Fold 2

99.81

99.86

99.91

99.84

99.86

99.85

99.65

Fold 3

99.80

99.86

99.91

99.83

99.86

99.84

99.66

Fold 4

99.79

99.85

99.89

99.81

99.85

99.83

99.63

Fold 5

99.83

99.89

99.93

99.85

99.89

99.87

99.69

Mean ± SD

99.80 ± 0.02

99.86 ± 0.02

99.91 ± 0.02

99.83 ± 0.02

99.86 ± 0.02

99.84 ± 0.02

99.65 ± 0.03

95% Confidence Interval

[99.78, 99.82]

[99.84, 99.88]

[99.89, 99.92]

[99.81, 99.85]

[99.84, 99.88]

[99.82, 99.86]

[99.62, 99.68]