Table 3 Comparison of performance with different repeated times of RCNN unit for sub-classifiers \(f_{5}, f_{10}, f_{15}\)
Times | Accuracy (%) | Precision (%) | Sensitivity (%) | Specificity (%) | \(F_{1}\)Score (%) |
|---|---|---|---|---|---|
Sub-classifier \(f_{5}\) | |||||
1 | 82.31 | 88.55 | 88.72 | 60.39 | 88.64 |
2 | 88.19 | 92.88 | 91.85 | 72.59 | 92.25 |
3 | 89.29 | 93.01 | 93.23 | 76.16 | 93.12 |
4 | 90.00 | 93.47 | 93.69 | 77.77 | 93.58 |
5 | 90.35 | 93.25 | 94.42 | 79.61 | 93.83 |
Sub-classifier \(f_{10}\) | |||||
1 | 78.62 | 77.10 | 83.56 | 80.57 | 80.20 |
2 | 84.86 | 86.09 | 84.41 | 83.58 | 85.24 |
3 | 87.71 | 88.05 | 88.25 | 87.34 | 88.15 |
4 | 88.29 | 88.27 | 89.27 | 88.32 | 88.77 |
5 | 89.15 | 89.24 | 89.90 | 89.05 | 89.57 |
Sub-classifier \(f_{15}\) | |||||
1 | 81.38 | 69.28 | 50.50 | 84.20 | 58.42 |
2 | 92.30 | 81.32 | 91.21 | 96.79 | 85.98 |
3 | 95.86 | 91.84 | 92.21 | 97.27 | 92.03 |
4 | 95.90 | 92.70 | 91.36 | 97.00 | 92.03 |
5 | 96.17 | 93.03 | 92.10 | 97.25 | 92.57 |