Fig. 4.

Estimated out-of-bag average quantile loss for the 90th percentile corresponding to each iteration in our QRFs variable selection algorithm. The red dot indicates the “elbow” point, at which the optimal balance between model accuracy and parsimoniousness of the selected variables is achieved. QRFs quantile regression forests