Table 1 False positive and false negative rates for each class.

From: Application of deep learning for fruit defect recognition in Psidium guajava L

Classes

H.

C.I.

Burn

Brown

C.G.

Pe.P

P.P.

P.M.

Le.

B.D.H

M.D.

Thrips

P.D.

Total

Random training set

Total number

202

591

3

80

786

585

80

78

87

33

12

234

86

2857

Number of True Positive (TP)

202

590

3

80

786

585

80

78

87

33

12

233

86

2852

Number of false negatives (FN)

0

1

0

0

0

2

0

1

0

0

0

1

0

5

False negative rate (%)

0

0

0

0

0

0

0

0

1

0

0

0

0

0

Number of false positives (FP)

0

17

0

5

44

34

6

12

6

0

0

28

9

161

False positive rate (%)

0

3

0

6

5

5

7

13

6

0

0

11

9

5

Random test set

Total number

79

220

3

21

334

262

49

32

29

5

8

102

43

1187

Number of True Positive (TP)

57

153

2

13

252

37

25

17

3

3

72

23

307

964

Number of false negatives

22

67

1

8

27

10

12

7

12

2

5

30

20

223

False negative rate (%)

22

23

25

32

28

4

20

18

29

29

38

23

32

16

Number of false positives

18

22

0

12

18

13

6

7

11

1

0

25

18

151

False positive rate (%)

19

9

0

36

5

5

11

18

28

17

0

20

30

11

Overall

Total number

281

811

6

101

1120

847

129

110

116

38

20

336

129

4044

Number of false negatives

22

68

1

8

27

12

12

8

12

2

5

31

20

228

False negative rate (%)

7

8

14

7

2

1

9

7

9

5

20

8

13

5

Number of false positives

18

39

0

17

62

47

12

19

17

1

0

53

27

312

False positive rate (%)

6

5

0

14

5

5

9

15

13

3

0

14

17

7