GMS location: 1002

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.154	0.333	0.404	2.541	NaN	NaN
forest	winter 2016	0.994	0.385	0.308	0.404	2.638	0.455	2.474
baseline	winter 2017	0.977	0.000e+00	0.340	0.408	2.181	NaN	NaN
forest	winter 2017	0.977	0.043	0.294	0.401	1.947	0.465	3.182
baseline	winter 2018	0.980	0.286	0.316	0.422	2.018	NaN	NaN
forest	winter 2018	0.993	0.286	0.275	0.388	1.970	0.449	2.478
baseline	winter 2019	1.000	NaN	0.342	0.414	1.499	NaN	NaN
forest	winter 2019	1.000	NaN	0.294	0.353	1.653	0.415	2.097
baseline	all	0.987	0.120	0.330	0.411	2.541	NaN	NaN
forest	all	0.990	0.200	0.293	0.396	2.638	0.454	2.667

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.154	0.333	0.404	2.541	NaN	NaN
elr	winter 2016	0.994	0.154	0.326	0.407	2.655	0.511	4.060
baseline	winter 2017	0.977	0.000e+00	0.340	0.408	2.181	NaN	NaN
elr	winter 2017	0.985	0.087	0.349	0.448	1.898	0.502	3.391
baseline	winter 2018	0.980	0.286	0.316	0.422	2.018	NaN	NaN
elr	winter 2018	0.993	0.286	0.322	0.421	2.324	0.476	2.849
baseline	winter 2019	1.000	NaN	0.342	0.414	1.499	NaN	NaN
elr	winter 2019	1.000	NaN	0.263	0.383	1.272	0.442	2.609
baseline	all	0.987	0.120	0.330	0.411	2.541	NaN	NaN
elr	all	0.992	0.160	0.329	0.423	2.655	0.495	3.432