GMS location: 922

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.387	0.463	1.865	NaN	NaN
forest	winter 2016	0.989	0.071	0.299	0.398	2.041	0.491	5.379
baseline	winter 2017	0.967	0.032	0.469	0.492	2.624	NaN	NaN
forest	winter 2017	0.967	0.032	0.337	0.422	1.780	0.468	3.860
baseline	winter 2018	0.973	0.103	0.329	0.423	2.228	NaN	NaN
forest	winter 2018	0.980	0.103	0.272	0.376	2.080	0.476	3.322
baseline	winter 2019	0.986	0.000e+00	0.315	0.395	2.415	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.218	0.349	1.453	0.463	2.912
baseline	all	0.981	0.046	0.373	0.443	2.624	NaN	NaN
forest	all	0.983	0.058	0.282	0.386	2.080	0.475	3.921

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.387	0.463	1.865	NaN	NaN
elr	winter 2016	0.989	0.143	0.322	0.428	1.964	0.563	4.564
baseline	winter 2017	0.967	0.032	0.469	0.492	2.624	NaN	NaN
elr	winter 2017	0.950	0.032	0.347	0.432	2.019	0.528	4.559
baseline	winter 2018	0.973	0.103	0.329	0.423	2.228	NaN	NaN
elr	winter 2018	0.973	0.103	0.295	0.402	1.943	0.539	4.460
baseline	winter 2019	0.986	0.000e+00	0.315	0.395	2.415	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.243	0.379	1.365	0.512	3.945
baseline	all	0.981	0.046	0.373	0.443	2.624	NaN	NaN
elr	all	0.978	0.070	0.302	0.410	2.019	0.537	4.392