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. 2020 Sep 4;98(2):259–270. doi: 10.1007/s11524-020-00478-y

Fig. 5.

Fig. 5

Comparison of QRFs, QRFs-F, and LQR-AllVar based on AQL, number of predictors selected, and AQL reduction per predictor (larger AQL reduction is better). QRFs quantile regression forests, QRFs-F quantile regression forests applied to full set of predictors, LQR-AllVar linear quantile regression including all variables, AQL average quantile loss