GMS location: 371

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.182	0.275	0.402	1.644	NaN	NaN
forest	winter 2016	1.000	0.273	0.271	0.401	1.783	0.481	4.167
baseline	winter 2017	0.970	0.056	0.484	0.501	2.228	NaN	NaN
forest	winter 2017	0.980	0.056	0.364	0.446	1.777	0.473	4.829
baseline	winter 2018	0.970	0.000e+00	0.268	0.409	1.502	NaN	NaN
forest	winter 2018	0.976	0.133	0.215	0.356	1.381	0.495	3.252
baseline	winter 2019	0.987	0.000e+00	0.248	0.362	2.004	NaN	NaN
forest	winter 2019	0.994	0.000e+00	0.206	0.340	1.605	0.503	3.812
baseline	all	0.984	0.059	0.304	0.412	2.228	NaN	NaN
forest	all	0.989	0.118	0.256	0.382	1.783	0.488	3.947

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.182	0.275	0.402	1.644	NaN	NaN
elr	winter 2016	1.000	0.273	0.305	0.423	1.851	0.527	4.672
baseline	winter 2017	0.970	0.056	0.484	0.501	2.228	NaN	NaN
elr	winter 2017	0.970	0.000e+00	0.412	0.473	2.060	0.491	5.308
baseline	winter 2018	0.970	0.000e+00	0.268	0.409	1.502	NaN	NaN
elr	winter 2018	0.976	0.000e+00	0.258	0.406	1.344	0.535	4.488
baseline	winter 2019	0.987	0.000e+00	0.248	0.362	2.004	NaN	NaN
elr	winter 2019	0.994	0.000e+00	0.211	0.349	1.744	0.501	3.797
baseline	all	0.984	0.059	0.304	0.412	2.228	NaN	NaN
elr	all	0.987	0.059	0.288	0.409	2.060	0.516	4.522