Table 4.
The correlation coefficients between the PSG parameters and the outcomes of the bilinear model for the entire dataset, as well as their blind testing F1 scores and classification accuracies.
| PSG# | Feature Combination | CC | F1-Score | ACC% |
|---|---|---|---|---|
| PSG1 | F2 F3(0.31) F46(−0.14) F74 F77 | 0.63 | 0.63 | 63 |
| PSG2 | F8(7.3) F12 F46(110) F49 F56 | 0.7 | 0.82 | 80 |
| PSG3 | F5(−31) F6(246) F37 F53 F68 | 0.74 | 0.76 | 81 |
| PSG4 | F5 F6(−21) F37 F46(86) F74 | 0.8 | 0.62 | 64 |
| PSG5 | F1 F10 F49(0.73) F56(−3.2) F72 | 0.71 | 0.62 | 74 |
| PSG6 | F2 F4 F33(0.07) F35 F46(2.3) | 0.64 | 0.64 | 64 |
| PSG7 | F3(106) F18 F48(−1367) F50 F77 | 0.75 | 0.74 | 71 |
| PSG8 | F3(8.4) F37 F48(−562) F49 F51 | 0.72 | 0.67 | 71 |
| PSG9 | F3 F19 F46(30.7) F48(−342) F77 | 0.69 | 0.6 | 67 |
| PSG10 | F3(30.7) F6(64.4) F19 F53 F78 | 0.72 | 0.63 | 68 |
| PSG11 | F4(2.6) F5(13.4) F12 F26 F38 | 0.82 | 0.83 | 82 |
| PSG12 | F4(−5.5) F5 F12(−14) F49 F74 | 0.72 | 0.67 | 79 |
| PSG13 | F4 F5(17.1) F11 F49(−5.5) F52 | 0.81 | 0.6 | 62 |
| PSG14 | F1(−7.2) F4(5.5) F5 F12 F15 | 0.76 | 0.78 | 78 |
| PSG15 | F1(−0.96) F29 F30 F49(−1.3) | 0.59 | 0.6 | 78 |
| PSG16 | F5 F6(36.3) F10 F46(288) F53 | 0.78 | 0.8 | 79 |
| PSG17 | F3 F46(11.1) F57(79.1) F66 F77 | 0.75 | 0.73 | 77 |
| PSG18 | F4 F5(9.9) F10 F17 F49(2.1) | 0.79 | 0.62 | 71 |
| PSG19 | F5(3.1) F38 F57(−730) F68 F71 | 0.79 | 0.95 | 92 |
| PSG20 | F5(32.3) F6(−99) F11 F50 F74 | 0.83 | 0.86 | 85 |
| PSG21 | F4(3.9) F5(−10.8) F24 F42 | 0.64 | 0.78 | 74 |
| PSG22 | F4 F5(−3.3) F6(33.48) F32 F66 | 0.73 | 0.67 | 69 |
| PSG23 | F1 F6(473) F32(−80.5) F49 F53 | 0.73 | 0.63 | 67 |
| PSG24 | F6(−15.3) F8(3.9) F10 F38 F41 | 0.81 | 0.77 | 73 |
| PSG25 | F5(−76) F6(113) F19 F54 F77 | 0.79 | 0.67 | 60 |
| PSG26 | F6 F9(−18) F26 F38 F46(−23.5) | 0.84 | 0.73 | 72 |
| PSG27 | F5(−161) 21 F25(−2550) F38 F51 | 0.81 | 0.67 | 75 |
| PSG28 | F5 F11 F25(−1889) F57(−4046) F71 | 0.8 | 0.63 | 67 |
| PSG29 | F1 F5(4.4) F6(−8.4) F37 F49 | 0.77 | 0.63 | 73 |
| PSG30 | F5(12.73) F21 F53 F65(−89.5) F77 | 0.78 | 0.84 | 80 |
| PSG31 | F6(44) F16 F29 F30 F65(24.7) | 0.8 | 0.89 | 92 |
| PSG32 | F1(−0.005) F24(0.0009) F29 F51 | 0.65 | 0.62 | 58 |
| PSG33 | F18 F28 F29 F47(0.15) F68(−0.0004) | 0.63 | 0.72 | 68 |
| PSG34 | F1(0.0157) F2(−0.006) F31 F37 F53 | 0.71 | 0.8 | 72 |
| PSG35 | F1(0.22) F2 F28 F32(−0.13) F36 | 0.63 | 0.74 | 74 |
| PSG36 | F2(−0.75) F22 F39 F46(1.78) F76 | 0.55 | 0.7 | 65 |
F: feature label, PSG#: PSG parameter number, CC: correlation coefficient with the outcomes of the bilinear model, and ACC: testing classification accuracy. Feature coefficient in the model is represented in the parentheses, and bolded features are the ones with the highest contribution to the constructed model.