GMS location: 838

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.972	0.200	0.531	0.528	3.026	NaN	NaN
forest	winter 2016	0.967	0.160	0.483	0.506	2.485	0.537	2.220
baseline	winter 2017	0.991	0.143	1.072	0.532	8.625	NaN	NaN
forest	winter 2017	0.991	0.143	1.037	0.506	8.678	0.509	2.018
baseline	winter 2018	0.980	0.074	0.457	0.508	2.012	NaN	NaN
forest	winter 2018	0.980	0.074	0.407	0.472	2.319	0.507	2.024
baseline	winter 2019	0.993	0.091	0.431	0.482	2.636	NaN	NaN
forest	winter 2019	0.985	0.000e+00	0.372	0.440	2.004	0.532	1.734
baseline	all	0.983	0.128	0.607	0.513	8.625	NaN	NaN
forest	all	0.979	0.101	0.559	0.482	8.678	0.522	2.016

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.972	0.200	0.531	0.528	3.026	NaN	NaN
elr	winter 2016	0.972	0.120	0.475	0.513	2.661	0.577	2.124
baseline	winter 2017	0.991	0.143	1.072	0.532	8.625	NaN	NaN
elr	winter 2017	0.982	0.143	1.080	0.533	8.781	0.590	2.717
baseline	winter 2018	0.980	0.074	0.457	0.508	2.012	NaN	NaN
elr	winter 2018	0.980	0.074	0.427	0.516	1.984	0.552	1.902
baseline	winter 2019	0.993	0.091	0.431	0.482	2.636	NaN	NaN
elr	winter 2019	0.985	0.000e+00	0.363	0.455	2.342	0.530	1.774
baseline	all	0.983	0.128	0.607	0.513	8.625	NaN	NaN
elr	all	0.979	0.092	0.569	0.505	8.781	0.563	2.116