GMS location: 105

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.355	0.412	3.296	NaN	NaN
forest	winter 2016	0.988	0.000e+00	0.296	0.379	2.977	0.505	3.542
baseline	winter 2017	0.982	0.071	0.435	0.477	2.288	NaN	NaN
forest	winter 2017	0.982	0.071	0.331	0.418	1.893	0.501	6.277
baseline	winter 2018	0.985	0.108	0.377	0.441	2.302	NaN	NaN
forest	winter 2018	0.962	0.081	0.355	0.434	2.307	0.510	3.770
baseline	winter 2019	0.992	0.083	0.272	0.368	1.652	NaN	NaN
forest	winter 2019	1.000	0.083	0.196	0.323	1.474	0.498	4.038
baseline	all	0.989	0.065	0.362	0.426	3.296	NaN	NaN
forest	all	0.983	0.057	0.299	0.391	2.977	0.504	4.333

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.355	0.412	3.296	NaN	NaN
elr	winter 2016	1.000	0.000e+00	0.289	0.407	2.073	0.596	4.983
baseline	winter 2017	0.982	0.071	0.435	0.477	2.288	NaN	NaN
elr	winter 2017	0.973	0.048	0.332	0.422	1.997	0.536	4.114
baseline	winter 2018	0.985	0.108	0.377	0.441	2.302	NaN	NaN
elr	winter 2018	0.977	0.054	0.310	0.425	2.224	0.597	5.562
baseline	winter 2019	0.992	0.083	0.272	0.368	1.652	NaN	NaN
elr	winter 2019	1.000	0.083	0.222	0.373	1.486	0.548	3.916
baseline	all	0.989	0.065	0.362	0.426	3.296	NaN	NaN
elr	all	0.989	0.040	0.291	0.408	2.224	0.573	4.714