GMS location: 377

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.978	0.000e+00	0.393	0.477	1.999	NaN	NaN
forest	winter 2016	0.989	0.067	0.326	0.441	1.940	0.465	3.942
baseline	winter 2017	0.952	0.038	0.329	0.427	2.315	NaN	NaN
forest	winter 2017	0.960	0.038	0.226	0.366	1.687	0.451	2.848
baseline	winter 2018	0.990	0.103	0.288	0.414	1.676	NaN	NaN
forest	winter 2018	0.990	0.172	0.282	0.405	1.705	0.478	3.585
baseline	winter 2019	0.987	0.091	0.284	0.390	1.997	NaN	NaN
forest	winter 2019	0.987	0.091	0.273	0.385	1.714	0.459	2.726
baseline	all	0.977	0.062	0.330	0.430	2.315	NaN	NaN
forest	all	0.982	0.099	0.280	0.402	1.940	0.463	3.307

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.978	0.000e+00	0.393	0.477	1.999	NaN	NaN
elr	winter 2016	0.984	0.000e+00	0.326	0.443	1.831	0.509	5.312
baseline	winter 2017	0.952	0.038	0.329	0.427	2.315	NaN	NaN
elr	winter 2017	0.968	0.038	0.266	0.391	1.912	0.487	5.109
baseline	winter 2018	0.990	0.103	0.288	0.414	1.676	NaN	NaN
elr	winter 2018	0.990	0.138	0.295	0.414	1.748	0.579	6.438
baseline	winter 2019	0.987	0.091	0.284	0.390	1.997	NaN	NaN
elr	winter 2019	0.987	0.091	0.276	0.373	1.755	0.528	4.661
baseline	all	0.977	0.062	0.330	0.430	2.315	NaN	NaN
elr	all	0.982	0.074	0.293	0.407	1.912	0.523	5.330