Table 3 Overall classifier analysis framework.

From: Adaptive hybrid segmentation combined with meta heuristic optimization in transfer learning for plant leaf disease classification

Terms

Existing

Proposed

EfficientNet 42

ResNet 43

DenseNet 37

Ensemble 44

IRV-WSA-ETLNet

Accuracy

89.321

90.170

92.100

94.056

94.853

Sensitivity

89.655

90.170

92.126

94.081

94.750

Specificity

89.209

90.170

92.091

94.047

94.888

Precision

73.471

75.355

79.520

84.046

86.068

FPR

10.791

9.830

7.909

5.953

5.112

FNR

10.345

9.830

7.874

5.919

5.250

NPV

89.209

90.170

92.091

94.047

94.888

FDR

26.529

24.645

20.480

15.954

13.932

F1-Score

80.760

82.099

85.360

88.781

90.201

MCC

74.167

75.975

80.396

85.004

86.906

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