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Forest Ecosystems
Fig. 3 | Forest Ecosystems

Fig. 3

From: Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems

Fig. 3

Landscape-level prediction of total annual mushroom productivity, using ran (random forest), xgb (extreme gradient boosting), svm (support vector machine), ann (artificial neural network), glmm (generalized linear mixed models) and gwr (geographically weighted regression). 05 and 15 labels refer to the models trained with five and fifteen variables, respectively

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