Table 8. Collective PLS-DA Models for All SERS and FT-IR Spectra, Calibrated by Sex for PBA (A), PBU (B), SBA (C), and SBU (D)a.
SERS | actual
sex |
FT-IR | actual sex |
||||
---|---|---|---|---|---|---|---|
predicted sex | accuracy, % | female (n = 250) | male (n = 250) | accuracy, % | female (n = 15) | male (n = 15) | |
A | female | 97.2 | 243 | 2 | 86.7 | 13 | 2 |
male | 99.2 | 7 | 248 | 86.7 | 2 | 13 | |
MCC = 0.964 | MCC = 0.733 | ||||||
B | female | 98.8 | 247 | 3 | 86.7 | 13 | 3 |
male | 98.8 | 3 | 247 | 80.0 | 2 | 12 | |
MCC = 0.976 | MCC = 0.668 | ||||||
C | female | 95.2 | 238 | 12 | 80.0 | 12 | 1 |
male | 95.2 | 12 | 238 | 93.3 | 3 | 14 | |
MCC = 0.904 | MCC = 0.740 | ||||||
D | female | 97.6 | 244 | 11 | 93.3 | 14 | 1 |
male | 95.6 | 6 | 239 | 93.3 | 1 | 14 | |
MCC = 0.932 | MCC = 0.867 |
Matthew’s correlation coefficient (MCC) indicates the level of reliability between binary classifications.