GMS location: 111

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.125	0.389	0.471	2.508	NaN	NaN
forest	winter 2016	0.989	0.083	0.289	0.403	2.474	0.427	2.665
baseline	winter 2017	0.973	0.053	0.529	0.516	2.877	NaN	NaN
forest	winter 2017	0.991	0.026	0.361	0.423	2.162	0.440	3.199
baseline	winter 2018	1.000	0.040	0.331	0.418	2.502	NaN	NaN
forest	winter 2018	1.000	0.080	0.289	0.393	2.460	0.422	2.860
baseline	winter 2019	0.992	0.000e+00	0.305	0.405	1.626	NaN	NaN
forest	winter 2019	1.000	0.000e+00	0.231	0.369	1.334	0.421	2.884
baseline	all	0.988	0.065	0.389	0.455	2.877	NaN	NaN
forest	all	0.995	0.054	0.294	0.398	2.474	0.427	2.880

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.125	0.389	0.471	2.508	NaN	NaN
elr	winter 2016	0.984	0.083	0.316	0.423	2.821	0.489	3.434
baseline	winter 2017	0.973	0.053	0.529	0.516	2.877	NaN	NaN
elr	winter 2017	0.982	0.053	0.406	0.463	2.266	0.475	3.452
baseline	winter 2018	1.000	0.040	0.331	0.418	2.502	NaN	NaN
elr	winter 2018	0.986	0.080	0.320	0.420	2.752	0.478	3.376
baseline	winter 2019	0.992	0.000e+00	0.305	0.405	1.626	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.280	0.421	1.626	0.469	2.970
baseline	all	0.988	0.065	0.389	0.455	2.877	NaN	NaN
elr	all	0.988	0.065	0.331	0.431	2.821	0.479	3.333