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. 2022 May 25;14:916020. doi: 10.3389/fnagi.2022.916020

TABLE 6.

The comparative test results (with standard deviation) in four-class classification task.

Algorithms Accuracy Sensitivity Specificity Precision F1-score G-mean
LD 77.67 79.69 77.51 78.40 77.50 78.59
(2.22) (1.51) (2.15) (2.52) (2.08) (1.80)
LR 78.56 79.60 78.47 78.59 78.23 79.03
(1.89) (2.51) (1.60) (2.74) (1.43) (2.01)
SRC 79.40 79.77 79.06 80.25 79.15 79.41
(2.13) (2.33) (2.68) (1.44) (2.32) (2.50)
LC-KSVD 81.25 81.77 81.34 80.87 81.55 81.55
(2.40) (2.19) (1.59) (2.36) (2.08) (1.86)
FDDL 81.45 81.06 80.02 80.67 80.69 80.54
(1.33) (2.00) (2.09) (2.73) (1.25) (2.05)
SRDML 83.13 82.10 82.94 83.56 83.17 82.52
(2.06) (2.26) (2.04) (1.49) (1.99) (2.15)
LMLS-SRC 85.54 86.19 84.51 86.15 85.97 85.34
(1.59) (2.03) (2.12) (1.63) (1.06) (2.07)