Figure 8. Predictive performance of the target machine learning algorithms for mapping forest tree species (N = 1.5 million distribution of training points is available in Fig. 3).

Methods compared: ranger, random forest; gbm, generalized boosted regression models; nnet, neural networks; kknn, K-nearest neighbors.