TABLE 1.
The comparative training results (with standard deviation) in binary classification task.
| Algorithms | Accuracy | Sensitivity | Specificity | Precision | F1-score | G-mean |
| LD | 81.30 | 81.99 | 80.06 | 80.58 | 82.26 | 81.02 |
| (2.84) | (3.15) | (2.80) | (3.32) | (3.27) | (2.97) | |
| LR | 82.15 | 82.62 | 81.79 | 82.68 | 82.51 | 82.20 |
| (2.55) | (2.66) | (2.70) | (2.35) | (2.56) | (2.60) | |
| SRC | 82.10 | 78.97 | 77.33 | 77.63 | 77.55 | 78.15 |
| (2.35) | (2.01) | (2.64) | (1.62) | (1.43) | (2.28) | |
| LC-KSVD | 80.27 | 81.34 | 78.94 | 80.85 | 79.93 | 80.13 |
| (2.54) | (2.12) | (2.63) | (1.82) | (2.07) | (1.59) | |
| FDDL | 83.16 | 84.47 | 81.38 | 85.20 | 82.86 | 82.91 |
| (2.64) | (??) | (1.83) | (1.45) | (1.69) | (1.54) | |
| SRDML | 85.71 | 85.91 | 85.09 | 84.10 | 85.08 | 85.50 |
| (2.15) | (2.23) | (1.75) | (1.88) | (1.74) | (1.96) | |
| LMLS-SRC | 89.80 | 90.39 | 87.87 | 88.89 | 90.43 | 89.12 |
| (2.02) | (1.35) | (2.06) | (1.35) | (1.28) | (1.19) |