Fig. 3

Each row shows the out-of-sample (i.e. in the test set) scatter plots of the true and fitted (i.e. predicted) values of the variables specified in each panel’s caption (from left to right, BMI, GBL and TNF). Inset plots show the histogram of the out-of-sample residues’ (i.e. the prediction error). The last row shows that multivariate random forest performs better predictions when compared to the linear or polynomial regression