GMS location: 924

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.982	0.000e+00	0.373	0.454	2.098	NaN	NaN
forest	winter 2016	0.994	0.000e+00	0.277	0.381	2.104	0.467	6.474
baseline	winter 2017	0.990	0.044	0.390	0.432	2.300	NaN	NaN
forest	winter 2017	0.990	0.067	0.265	0.357	1.974	0.446	4.818
baseline	winter 2018	0.979	0.086	0.303	0.416	2.000	NaN	NaN
forest	winter 2018	0.986	0.086	0.229	0.353	2.057	0.461	3.616
baseline	winter 2019	0.986	0.048	0.276	0.386	2.183	NaN	NaN
forest	winter 2019	0.986	0.095	0.164	0.299	1.600	0.443	3.728
baseline	all	0.984	0.047	0.336	0.423	2.300	NaN	NaN
forest	all	0.989	0.063	0.235	0.349	2.104	0.455	4.708

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.982	0.000e+00	0.373	0.454	2.098	NaN	NaN
elr	winter 2016	1.000	0.000e+00	0.319	0.438	2.072	0.546	6.562
baseline	winter 2017	0.990	0.044	0.390	0.432	2.300	NaN	NaN
elr	winter 2017	0.990	0.067	0.303	0.373	2.417	0.493	5.031
baseline	winter 2018	0.979	0.086	0.303	0.416	2.000	NaN	NaN
elr	winter 2018	0.986	0.086	0.290	0.420	2.151	0.552	5.175
baseline	winter 2019	0.986	0.048	0.276	0.386	2.183	NaN	NaN
elr	winter 2019	0.986	0.095	0.224	0.370	1.629	0.501	3.639
baseline	all	0.984	0.047	0.336	0.423	2.300	NaN	NaN
elr	all	0.991	0.063	0.285	0.403	2.417	0.525	5.163