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

TABLE 2.

The comparative test results (with standard deviation) in binary classification task.

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)