GMS location: 870

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.000e+00	0.377	0.467	2.249	NaN	NaN
forest	winter 2016	0.983	0.071	0.306	0.403	2.103	0.440	2.611
baseline	winter 2017	0.959	0.067	0.352	0.431	2.288	NaN	NaN
forest	winter 2017	0.959	0.067	0.249	0.356	2.665	0.430	2.628
baseline	winter 2018	0.981	0.091	0.507	0.540	2.435	NaN	NaN
forest	winter 2018	0.987	0.045	0.402	0.463	2.384	0.427	3.379
baseline	winter 2019	0.980	0.071	0.322	0.414	2.231	NaN	NaN
forest	winter 2019	1.000	0.071	0.226	0.348	1.995	0.407	1.904
baseline	all	0.977	0.062	0.392	0.466	2.435	NaN	NaN
forest	all	0.984	0.062	0.299	0.395	2.665	0.427	2.646

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.000e+00	0.377	0.467	2.249	NaN	NaN
elr	winter 2016	0.977	0.071	0.345	0.435	2.214	0.537	4.724
baseline	winter 2017	0.959	0.067	0.352	0.431	2.288	NaN	NaN
elr	winter 2017	0.976	0.067	0.256	0.388	2.517	0.520	3.642
baseline	winter 2018	0.981	0.091	0.507	0.540	2.435	NaN	NaN
elr	winter 2018	0.981	0.091	0.402	0.470	2.372	0.497	4.364
baseline	winter 2019	0.980	0.071	0.322	0.414	2.231	NaN	NaN
elr	winter 2019	1.000	0.071	0.267	0.373	1.959	0.460	3.004
baseline	all	0.977	0.062	0.392	0.466	2.435	NaN	NaN
elr	all	0.984	0.075	0.322	0.419	2.517	0.504	3.978