GMS location: 378

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.105	0.421	0.485	2.401	NaN	NaN
forest	winter 2016	0.995	0.158	0.358	0.451	2.439	0.449	1.820
baseline	winter 2017	0.965	0.077	0.515	0.537	2.176	NaN	NaN
forest	winter 2017	0.965	0.051	0.368	0.460	1.768	0.474	2.552
baseline	winter 2018	1.000	0.083	0.395	0.475	2.297	NaN	NaN
forest	winter 2018	0.993	0.056	0.319	0.407	2.619	0.459	1.756
baseline	winter 2019	1.000	0.059	0.556	0.506	3.619	NaN	NaN
forest	winter 2019	1.000	0.000e+00	0.448	0.455	3.599	0.451	1.990
baseline	all	0.988	0.081	0.467	0.499	3.619	NaN	NaN
forest	all	0.990	0.063	0.372	0.443	3.599	0.457	2.004

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.105	0.421	0.485	2.401	NaN	NaN
elr	winter 2016	0.995	0.158	0.355	0.457	2.377	0.519	3.056
baseline	winter 2017	0.965	0.077	0.515	0.537	2.176	NaN	NaN
elr	winter 2017	0.956	0.051	0.398	0.488	1.804	0.526	3.229
baseline	winter 2018	1.000	0.083	0.395	0.475	2.297	NaN	NaN
elr	winter 2018	0.993	0.083	0.350	0.442	2.428	0.521	2.964
baseline	winter 2019	1.000	0.059	0.556	0.506	3.619	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.477	0.478	3.862	0.502	3.477
baseline	all	0.988	0.081	0.467	0.499	3.619	NaN	NaN
elr	all	0.988	0.072	0.392	0.465	3.862	0.517	3.172