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. 2020 Nov 22;7(3):1295–1310. doi: 10.1007/s40747-020-00218-4

Table 10.

Results of not using LDA

Approach Sen ν1 Spc ν2 Prc ν3 Acc ν4 F1 ν5 MCC ν6 FMI ν7
M0-NLDA 89.46 ± 1.16 87.67 ± 1.02 87.89 ± 0.89 88.56 ± 0.73 88.66 ± 0.74 77.15 ± 1.47 88.67 ± 0.74
M1-NLDA 89.75 ± 1.81 89.46 ± 1.42 89.50 ± 1.26 89.60 ± 1.10 89.62 ± 1.14 79.23 ± 2.19 89.62 ± 1.14
M2-NLDA 91.54 ± 1.47 92.04 ± 1.74 92.02 ± 1.63 91.79 ± 1.26 91.77 ± 1.25 83.60 ± 2.52 91.78 ± 1.25
M3-NLDA 91.21 ± 0.75 91.50 ± 1.23 91.49 ± 1.12 91.35 ± 0.74 91.34 ± 0.71 82.72 ± 1.47 91.35 ± 0.71
M4-NLDA 92.17 ± 1.36 91.46 ± 1.41 91.53 ± 1.32 91.81 ± 1.11 91.84 ± 1.10 83.64 ± 2.22 91.84 ± 1.10
M4-LDA 94.08 ± 1.22 93.58 ± 1.49 93.63 ± 1.37 93.83 ± 0.96 93.85 ± 0.94 87.68 ± 1.91 93.85 ± 0.94

Bold means the best

M model, NLDA not using LDA