Table 5.
Performance measurements (%) of the proposed ResExLBP and IRF based X-ray image classification method using the 80% training, 20% testing.
| Classifier | Statistics | CAC | SEN | SPE | BCAC | GM |
|---|---|---|---|---|---|---|
| DT | Mean | 91.30 | 82.97 | 94.44 | 88.71 | 88.35 |
| Std | 3.5 | 9.18 | 3.8 | 4.7 | 5.10 | |
| Max | 100.0 | 100.0 | 100.0 | 100 | 100.0 | |
| LD | Mean | 98.61 | 95.05 | 99.95 | 97.50 | 97.43 |
| Std | 1.40 | 5.07 | 0.34 | 2.54 | 2.64 | |
| Max | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| kNN | Mean | 96.62 | 87.64 | 100.0 | 93.82 | 93.52 |
| Std | 2.09 | 7.65 | 0 | 3.83 | 4.17 | |
| Max | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| SVM | Mean | 99.45 | 97.98 | 100.0 | 98.99 | 98.97 |
| Std | 0.85 | 3.09 | 0 | 1.54 | 1.58 | |
| Max | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| SD | Mean | 98.09 | 93.04 | 99.9 | 96.52 | 96.40 |
| Std | 1.67 | 6.09 | 0.001 | 3.04 | 3.21 | |
| Max | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |