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Forest Ecosystems
Fig. 1 | Forest Ecosystems

Fig. 1

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

Fig. 1

Relationship between annual mushroom productivity and August, September and October precipitation and maximum temperatures in September and October (these variables are the variables used in the statistical models and the five variables machine learning models). 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 refer to the models trained with five and fifteen variables, respectively

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