Table A6.

Monte-Carlo mean of the $NMRSE$ for the Airfoil Dataset summarizing the same information as in Figure 1.

Mean Monte-Carlo $\mathit{NRMSE}$ of the Airfoil Dataset
Imputation Method	$r=10\%$	$r=20\%$	$r=30\%$	$r=40\%$	$r=50\%$	$r=60\%$	$r=80\%$
missForest	$0.729$	$0.741$	$0.762$	$0.782$	$0.805$	$0.819$	$0.841$
mice_pmm	$1.028$	$1.032$	$1.039$	$1.043$	$1.054$	$1.065$	$1.093$
mice_norm	$1.046$	$1.044$	$1.049$	$1.059$	$1.063$	$1.075$	$1.098$
mice_rf	$1.040$	$1.042$	$1.054$	$1.058$	$1.068$	$1.072$	$1.080$
gbm	$0.724$	$0.740$	$0.759$	$0.789$	$0.813$	$0.830$	$0.869$
xgboost	$0.843$	$0.939$	$0.992$	$1.001$	$0.978$	$0.951$	$0.940$