Table 1.

Error measures for the proposed models.

method	RMSE	CRPS	bias	training time (s)
QRF	$\underset{(8.37)}{22.62}$	$\underset{(3.58)}{11.86}$	$\underset{(4.77)}{4.68}$	$\underset{(1.01)}{24.15}$
QRFL	$\underset{(6.52)}{19.12}$	$\underset{(3.03)}{9.97}$	$\underset{(2.0)}{2.32}$	$\underset{(0.36)}{8.71}$
QKNN	$\underset{(7.91)}{20.73}$	$\underset{(3.59)}{10.52}$	$\underset{(3.53)}{4.26}$	$\underset{(0.31)}{6.92}$
QKNNL	$\underset{(6.44)}{18.4}$	$\underset{(2.99)}{9.34}$	$\underset{(2.01)}{3.06}$	$\underset{(0.32)}{7.06}$
QGB	$\underset{(5.59)}{16.09}$	$\underset{(2.54)}{8.04}$	$\underset{(1.76)}{2.08}$	$\underset{(1.19)}{42.78}$
QGBL	$\underset{(5.55)}{16.14}$	$\underset{(2.55)}{8.1}$	$\underset{(1.55)}{1.95}$	$\underset{(1.04)}{42.22}$
QLR	$\underset{(6.71)}{19.44}$	$\underset{(3.31)}{10.38}$	$\underset{(2.16)}{2.77}$	$\underset{(0.53)}{9.68}$
MLP	$\underset{(6.04)}{18.16}$	$\underset{(2.85)}{9.27}$	$\underset{(2.49)}{1.86}$	$\underset{(7.71)}{73.08}$
NGBOOST	$\underset{(6.43)}{18.52}$	$\underset{(2.96)}{9.4}$	$\underset{(2.32)}{3.42}$	$\underset{(14.2)}{180.86}$
DT	$\underset{(6.77)}{18.69}$	$\underset{(2.99)}{9.45}$	$\underset{(2.84)}{4.27}$	$\underset{(12.29)}{289.81}$