GMS location: 565

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.346	0.445	1.781	NaN	NaN
forest	winter 2016	0.995	0.000e+00	0.272	0.397	1.858	0.446	4.258
baseline	winter 2017	0.949	0.061	0.429	0.506	2.016	NaN	NaN
forest	winter 2017	0.958	0.061	0.269	0.395	1.716	0.454	4.023
baseline	winter 2018	1.000	0.074	0.281	0.406	1.939	NaN	NaN
forest	winter 2018	1.000	0.074	0.218	0.349	1.796	0.447	3.061
baseline	winter 2019	0.993	0.000e+00	0.290	0.397	1.681	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.225	0.375	1.488	0.440	3.078
baseline	all	0.985	0.046	0.335	0.438	2.016	NaN	NaN
forest	all	0.988	0.046	0.247	0.379	1.858	0.447	3.637

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.346	0.445	1.781	NaN	NaN
elr	winter 2016	0.995	0.000e+00	0.320	0.440	1.822	0.506	4.646
baseline	winter 2017	0.949	0.061	0.429	0.506	2.016	NaN	NaN
elr	winter 2017	0.958	0.030	0.338	0.451	1.690	0.494	4.911
baseline	winter 2018	1.000	0.074	0.281	0.406	1.939	NaN	NaN
elr	winter 2018	1.000	0.037	0.237	0.371	2.020	0.504	3.950
baseline	winter 2019	0.993	0.000e+00	0.290	0.397	1.681	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.244	0.390	1.577	0.502	4.478
baseline	all	0.985	0.046	0.335	0.438	2.016	NaN	NaN
elr	all	0.988	0.023	0.286	0.413	2.020	0.502	4.493