2.3. Development and Evaluation of the Species Distribution Model A total of nine algorithms, including artificial neural network (ANN), classification tree analysis (CTA), generalized additive model (GAM), generalized boosting regression model (GBM), generalized linear model (GLM), multiple adaptive regression splines (MARS), maximum entropy (MAXENT), random forest (RF), and surface range envelop (SRE), were used to create the species distribution model [13,50].
