Table 1 Parameters and statistical performance of presence/absence models
Model | Parameters | True positive rate (TPR) | Predicted area rate | Kappa index |
|---|---|---|---|---|
Artificial neural network with back-propagation (BP-ANN) | Momentum 0.3 | 0.9425 | 1.2096 | 0.8336 |
Learning rate 0.1 | ||||
Classification tree (CTree) | Number of trails 10 | 0.9493 | 1.3196 | 0.8431 |
Window size 20 | ||||
Pruning conf. level 0.25 | ||||
Generalised linear model (GLM) | Link function type LOGIT | 0.9592 | 1.6237 | 0.8174 |
Threshold 0.426 |