Table 5 Study on the impact of the ratio of training over test data for sub-classifiers \(f_{5}, f_{10}, f_{15}\)
Proportion | Accuracy (%) | Precision (%) | Recall (%) | Specificity (%) | \(F_{1}\)Score (%) |
|---|---|---|---|---|---|
Sub-classifier \(f_{5}\) | |||||
5:5 | 88.54 | 92.20 | 93.14 | 75.16 | 92.67 |
6:4 | 88.71 | 92.33 | 93.21 | 75.48 | 92.77 |
7:3 | 89.23 | 92.75 | 93.44 | 76.49 | 93.10 |
8:2 | 89.78 | 93.11 | 93.80 | 77.76 | 93.45 |
9:1 | 90.35 | 93.25 | 94.42 | 79.61 | 93.83 |
Sub-classifier \(f_{10}\) | |||||
5:5 | 82.88 | 83.92 | 82.80 | 81.78 | 83.36 |
6:4 | 84.63 | 84.75 | 85.75 | 84.49 | 85.25 |
7:3 | 85.83 | 85.71 | 87.16 | 85.95 | 86.43 |
8:2 | 86.95 | 86.88 | 88.09 | 87.02 | 87.48 |
9:1 | 89.14 | 89.24 | 89.90 | 89.05 | 89.56 |
Sub-classifier \(f_{15}\) | |||||
5:5 | 93.32 | 87.94 | 85.99 | 95.14 | 86.95 |
6:4 | 93.83 | 88.60 | 87.41 | 95.62 | 88.00 |
7:3 | 94.63 | 90.63 | 88.44 | 95.99 | 89.52 |
8:2 | 95.05 | 91.57 | 89.10 | 96.22 | 90.32 |
9:1 | 96.16 | 93.03 | 92.10 | 97.25 | 92.56 |