TABLE 2.
Algorithms | Accuracy | Sensitivity | Specificity | Precision | F1-score | G-mean |
LD | 80.92 | 81.64 | 80.44 | 81.45 | 80.70 | 81.04 |
(2.26) | (1.69) | (2.10) | (2.06) | (1.62) | (1.37) | |
LR | 81.61 | 82.28 | 80.96 | 82.81 | 80.79 | 81.62 |
(1.71) | (2.58) | (2.70) | (1.04) | (1.88) | (2.64) | |
SRC | 82.91 | 83.18 | 82.86 | 83.07 | 82.94 | 83.02 |
(1.75) | (2.46) | (2.28) | (1.16) | (1.87) | (2.37) | |
LC-KSVD | 82.15 | 82.59 | 80.51 | 82.78 | 82.56 | 81.54 |
(2.74) | (1.38) | (2.80) | (2.55) | (1.96) | (1.93) | |
FDDL | 82.89 | 84.26 | 81.71 | 84.35 | 83.23 | 82.98 |
(2.23) | (1.50) | (1.43) | (1.14) | (2.02) | (1.46) | |
SRDML | 85.44 | 87.13 | 84.35 | 86.42 | 85.42 | 85.73 |
(2.14) | (2.20) | (2.10) | (2.74) | (2.05) | (2.15) | |
LMLS-SRC | 88.28 | 90.15 | 86.75 | 90.08 | 88.31 | 88.43 |
(2.07) | (2.06) | (1.67) | (1.92) | (1.18) | (1.68) |