Table 4 Class-based performance metrics.

From: A novel feature fusion and mountain gazelle optimizer based framework for the recognition of jute pests in sustainable agriculture

Class

TP

FP

FN

TN

Accuracy

Precision

Recall

F1-Score

1

38

2

6

1320

0.863636

0.950000

0.863636

0.904762

2

51

1

16

1298

0.761194

0.980769

0.761194

0.857143

3

83

5

1

1277

0.988095

0.943182

0.988095

0.965116

4

82

0

0

1284

1.000000

1.000000

1.000000

1.000000

5

101

5

9

1251

0.918182

0.952830

0.918182

0.935185

6

87

24

0

1255

1.000000

0.783784

1.000000

0.878788

7

95

2

1

1268

0.989583

0.979381

0.989583

0.984456

8

79

0

0

1287

1.000000

1.000000

1.000000

1.000000

9

60

0

1

1305

0.983607

1.000000

0.983607

0.991736

10

140

0

0

1226

1.000000

1.000000

1.000000

1.000000

11

65

1

2

1298

0.970149

0.984848

0.970149

0.977444

12

94

0

4

1268

0.959184

1.000000

0.959184

0.979167

13

78

2

4

1282

0.951220

0.975000

0.951220

0.962963

14

69

0

0

1297

1.000000

1.000000

1.000000

1.000000

15

62

0

0

1304

1.000000

1.000000

1.000000

1.000000

16

65

0

0

1301

1.000000

1.000000

1.000000

1.000000

17

73

2

0

1291

1.000000

0.973333

1.000000

0.986486