Table 2 Performance of linear discrimination analysis (LDA) model in identifying single hard seed in six species
Species | Accuracy (%) | Sensitivity (%) | Specificity (%) |
|---|---|---|---|
Acacia seyal | |||
 Calibration | 91.79 | 99.60 | 26.67 |
 CV | 86.79 | 96.80 | 3.33 |
 Validation | 87.50 | 98.11 | 7.14 |
Galega orientulis | |||
 Calibration | 91.07 | 88.72 | 93.20 |
 CV | 86.07 | 84.21 | 87.76 |
 Validation | 85.00 | 86.00 | 84.29 |
Glycyrrhiza glabra | |||
 Calibration | 82.86 | 60.00 | 92.82 |
 CV | 72.14 | 40.00 | 86.15 |
 Validation | 77.50 | 50.00 | 87.50 |
Medicago sativa | |||
 Calibration | 92.86 | 89.58 | 96.32 |
 CV | 88.93 | 86.81 | 91.18 |
 Validation | 90.00 | 82.69 | 95.59 |
Melilotus officinalis | |||
 Calibration | 95.36 | 89.74 | 97.52 |
 CV | 92.14 | 83.33 | 95.54 |
 Validation | 90.00 | 86.67 | 91.11 |
Thermopsis lanceolata | |||
 Calibration | 86.07 | 55.38 | 95.35 |
 CV | 80.00 | 38.46 | 92.56 |
 Validation | 75.00 | 33.33 | 87.10 |