Table 3 Performance comparison of the developed model among various methods.

From: Medicinal plant leaf disease classification using optimal weighted features with dilated adaptive DenseNet and attention mechanism

Performance measures

ResNet51

VGG1652

DenseNet53

A-DADenseNet46

HZKHO-A-DADensenet

Accuracy

77.08

88.96

87.17

88.25

90.69

Sensitivity

40.15

61.69

57.63

59.94

66.04

Specificity

94.25

97.60

97.10

97.53

98.04

Precision

76.46

89.06

86.98

88.85

90.94

FPR

5.75

2.40

2.90

2.47

1.96

FNR

59.85

38.31

42.37

40.06

33.96

NPV

77.21

88.94

87.21

88.13

90.65

FDR

23.54

10.94

13.02

11.15

9.06

F1_score

52.65

72.89

69.32

71.59

76.51

MCC

0.43

0.68

0.64

0.67

0.72

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