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Table 5 Confusion matrices of VGG, ResNet, and Efficient model

From: A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric

Model Name

VGG-16

VGG-19

ResNet-18

ResNet-34

ResNet-50

Real Result

Predicted Result

 

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

3638

0

0

0

0

3887

0

0

0

0

3825

0

0

0

0

3830

0

0

0

0

3864

0

0

0

0

1

363

0

0

0

0

376

0

0

0

0

371

0

0

0

0

391

0

0

0

0

365

0

0

0

0

2

763

0

0

0

0

793

0

0

0

0

806

0

0

0

0

804

0

0

0

0

806

0

0

0

0

3

131

0

0

0

0

131

0

0

0

0

152

0

0

0

0

138

0

0

0

0

116

0

0

0

0

4

113

0

0

0

0

113

0

0

0

0

114

0

0

0

0

105

0

0

0

0

117

0

0

0

0

Model Name

ResNet-101

ResNet-152

EfficientNet-B0

EfficientNet-B1

EfficientNet-B2

Real Result

Predicted Result

 

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

3848

0

0

0

0

3775

0

0

0

0

3787

0

105

2

5

3833

0

68

0

0

3761

0

120

0

0

1

383

0

0

0

0

360

0

0

0

0

321

0

20

0

0

357

0

17

0

0

346

0

29

0

0

2

783

0

0

0

0

814

0

0

0

0

532

0

228

25

1

501

0

273

0

2

487

0

307

0

0

3

140

0

0

0

0

128

0

0

0

0

27

0

67

39

2

30

0

89

0

3

24

0

86

0

0

4

103

0

0

0

0

90

0

0

0

0

28

0

47

17

15

34

0

41

0

18

17

0

91

0

0

Model Name

EfficientNet-B3_30

EfficientNet-B3_60

EfficientNet-B4

EfficientNet-B5

EfficientNet-B6

Real Result

Predicted Result

 

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

1

2

3

4

0

3868

3

20

0

0

3772

8

65

0

0

3851

0

38

0

2

3726

0

83

1

0

3809

0

59

0

2

1

326

23

34

0

0

244

31

128

0

0

348

0

3

0

0

363

0

11

0

0

335

0

13

0

0

2

247

34

501

0

0

114

9

624

5

0

605

0

194

5

8

587

0

234

21

0

515

0

269

1

10

3

10

0

69

38

0

3

0

77

46

13

42

0

71

46

2

36

0

70

33

0

26

0

87

5

18

4

16

0

29

15

37

9

0

14

6

98

44

0

58

6

16

19

0

65

21

0

33

0

66

1

21