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Table 4 Performance Evaluation of the proposed methodology in terms of precision, recall, F-measure, accuracy and execution time using UWIE with FFA and without FFA

From: Fish species classification using a collaborative technique of firefly algorithm and neural network

Number of Images

Precision

Recall

F-measure

Accuracy (%)

Execution Time (s)

UWIE

UWIE + FFA

UWIE

UWIE + FFA

UWIE

UWIE + FFA

UWIE

UWIE + FFA

UWIE

UWIE + FFA

10

0.74

0.76

0.69

0.71

0.714

0.734

97.242

98.188

1.954

2.234

20

0.76

0.78

0.71

0.73

0.734

0.754

97.348

98.394

2.018

2.415

50

0.78

0.79

0.72

0.74

0.749

0.764

97.486

98.495

2.114

2.546

100

0.82

0.83

0.73

0.75

0.772

0.788

97.846

98.592

2.175

3.014

200

0.84

0.85

0.75

0.79

0.792

0.819

97.974

98.994

2.354

3.345

500

0.87

0.89

0.78

0.8

0.823

0.843

98.214

99.187

2.548

3.784

1000

0.91

0.91

0.82

0.85

0.863

0.879

98.248

99.257

2.842

3.958

1500

0.92

0.94

0.87

0.91

0.894

0.925

98.485

99.348

3.013

4.162

2000

0.93

0.95

0.89

0.95

0.910

0.950

98.584

99.445

3.242

4.586

5000

0.94

0.96

0.91

0.97

0.925

0.965

98.745

99.574

3.674

4.887

10,000

0.95

0.97

0.93

0.98

0.940

0.975

98.845

99.618

3.975

5.174