GMS location: 1003

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.176	0.341	0.428	1.969	NaN	NaN
forest	winter 2016	0.984	0.176	0.292	0.402	1.720	0.474	2.726
baseline	winter 2017	0.976	0.000e+00	0.459	0.457	2.501	NaN	NaN
forest	winter 2017	0.976	0.038	0.344	0.412	2.314	0.496	4.290
baseline	winter 2018	0.980	0.143	0.329	0.446	1.766	NaN	NaN
forest	winter 2018	0.987	0.095	0.231	0.375	1.293	0.471	2.376
baseline	winter 2019	0.992	0.143	0.354	0.441	1.669	NaN	NaN
forest	winter 2019	0.992	0.143	0.271	0.397	1.715	0.470	2.747
baseline	all	0.985	0.103	0.368	0.442	2.501	NaN	NaN
forest	all	0.985	0.103	0.284	0.396	2.314	0.477	2.997

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.176	0.341	0.428	1.969	NaN	NaN
elr	winter 2016	0.984	0.118	0.313	0.428	1.645	0.548	4.260
baseline	winter 2017	0.976	0.000e+00	0.459	0.457	2.501	NaN	NaN
elr	winter 2017	0.984	0.000e+00	0.374	0.463	2.035	0.564	5.419
baseline	winter 2018	0.980	0.143	0.329	0.446	1.766	NaN	NaN
elr	winter 2018	0.993	0.095	0.266	0.401	1.518	0.541	3.689
baseline	winter 2019	0.992	0.143	0.354	0.441	1.669	NaN	NaN
elr	winter 2019	0.984	0.143	0.317	0.452	1.772	0.527	3.929
baseline	all	0.985	0.103	0.368	0.442	2.501	NaN	NaN
elr	all	0.987	0.077	0.316	0.434	2.035	0.545	4.308