Table 2. AUC and TSS values for four machine learning models and their Ensemble model with three crane species based on literature testing data.
| Accuracy metric (samples) | Species distribution model | ||||
|---|---|---|---|---|---|
| TreeNet | Random Forest | CART | Maxent | Ensemble | |
| Hooded Crane (Grus monacha,n = 33 sites) | |||||
| AUC | 0.504 | 0.625 | 0.500 | 0.558 | 0.558 |
| TSS | 0.000 | 0.250 | 0.000 | 0.137 | 0.117 |
| White-naped Crane (Grus vipio, n = 40 sites) | |||||
| AUC | 0.605 | 0.754 | 0.564 | 0.712 | 0.754 |
| TSS | 0.210 | 0.509 | 0.128 | 0.424 | 0.508 |
| Black-necked Crane (Grus nigricollis, n = 75 sites) | |||||
| AUC | 0.528 | 0.830 | 0.672 | 0.805 | 0.843 |
| TSS | 0.055 | 0.660 | 0.345 | 0.611 | 0.686 |