GMS location: 376

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.286	0.401	2.000	NaN	NaN
forest	winter 2016	1.000	0.182	0.265	0.390	1.932	0.476	2.878
baseline	winter 2017	0.985	0.045	0.380	0.448	2.188	NaN	NaN
forest	winter 2017	0.985	0.045	0.301	0.409	1.764	0.479	3.078
baseline	winter 2018	0.988	0.100	0.377	0.407	4.575	NaN	NaN
forest	winter 2018	0.982	0.050	0.357	0.381	4.673	0.510	3.646
baseline	winter 2019	0.987	0.000e+00	0.231	0.353	1.892	NaN	NaN
forest	winter 2019	0.987	0.000e+00	0.201	0.330	1.482	0.492	2.869
baseline	all	0.989	0.048	0.318	0.402	4.575	NaN	NaN
forest	all	0.989	0.065	0.283	0.378	4.673	0.489	3.120

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.286	0.401	2.000	NaN	NaN
elr	winter 2016	0.990	0.091	0.304	0.422	2.012	0.562	4.869
baseline	winter 2017	0.985	0.045	0.380	0.448	2.188	NaN	NaN
elr	winter 2017	0.970	0.045	0.360	0.459	1.964	0.540	5.748
baseline	winter 2018	0.988	0.100	0.377	0.407	4.575	NaN	NaN
elr	winter 2018	0.988	0.050	0.381	0.409	4.703	0.559	5.986
baseline	winter 2019	0.987	0.000e+00	0.231	0.353	1.892	NaN	NaN
elr	winter 2019	0.987	0.111	0.216	0.353	1.617	0.513	3.810
baseline	all	0.989	0.048	0.318	0.402	4.575	NaN	NaN
elr	all	0.984	0.065	0.316	0.411	4.703	0.545	5.115