GMS location: 351

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.359	0.481	1.922	NaN	NaN
forest	winter 2016	1.000	0.000e+00	0.236	0.371	1.648	0.423	5.193
baseline	winter 2017	0.984	0.042	0.320	0.428	2.230	NaN	NaN
forest	winter 2017	0.992	0.042	0.203	0.336	1.580	0.440	4.545
baseline	winter 2018	0.991	0.056	0.378	0.478	1.835	NaN	NaN
forest	winter 2018	1.000	0.056	0.225	0.362	1.638	0.416	2.703
baseline	winter 2019	0.986	0.000e+00	0.321	0.431	1.842	NaN	NaN
forest	winter 2019	0.979	0.000e+00	0.215	0.353	1.637	0.433	3.458
baseline	all	0.991	0.030	0.344	0.455	2.230	NaN	NaN
forest	all	0.993	0.030	0.221	0.356	1.648	0.428	4.085

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.359	0.481	1.922	NaN	NaN
elr	winter 2016	1.000	0.000e+00	0.227	0.387	1.379	0.492	5.158
baseline	winter 2017	0.984	0.042	0.320	0.428	2.230	NaN	NaN
elr	winter 2017	0.984	0.042	0.241	0.381	1.827	0.518	5.584
baseline	winter 2018	0.991	0.056	0.378	0.478	1.835	NaN	NaN
elr	winter 2018	1.000	0.056	0.228	0.374	2.112	0.482	4.643
baseline	winter 2019	0.986	0.000e+00	0.321	0.431	1.842	NaN	NaN
elr	winter 2019	0.986	0.000e+00	0.237	0.377	1.632	0.477	4.627
baseline	all	0.991	0.030	0.344	0.455	2.230	NaN	NaN
elr	all	0.993	0.030	0.233	0.381	2.112	0.492	5.021