Predicting current and future suitable habitat and productivity for Atlantic populations of maritime pine (Pinus pinaster Aiton) in Spain

Table 3 Values of the comparative statistics (after the 10-fold cross-validation approach) of the different algorithms tested in a preliminary analysis of species distribution and productivity models

Comparative statistics: area under the ROC curve (AUC) and pseudo-coefficient of determination (R²). Values in brackets are the standard deviations for the 10 predictions
ANN artificial neural networks, CTA classification tree analysis, FDA flexible discriminant analysis, GAM generalized additive models, GBM generalized boosted regression models, GLM generalized linear models, MARS multivariate adaptive regression splines, RF random forest, SRE rectilinear surface range envelop (equivalent to BIOCLIM), MLR multiple linear regression, KNN nearest neighbour, regression trees using M5P algorithm

ISSN: 1297-966X