GMS location: 473

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.120	0.520	0.526	3.324	NaN	NaN
forest	winter 2016	0.989	0.120	0.428	0.467	3.090	0.478	4.555
baseline	winter 2017	0.990	0.075	0.395	0.466	2.392	NaN	NaN
forest	winter 2017	0.980	0.075	0.315	0.415	1.610	0.460	3.424
baseline	winter 2018	0.986	0.118	0.378	0.469	1.931	NaN	NaN
forest	winter 2018	0.972	0.147	0.325	0.416	2.045	0.457	2.741
baseline	winter 2019	0.993	0.000e+00	0.284	0.405	2.289	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.224	0.362	1.577	0.455	2.723
baseline	all	0.990	0.086	0.400	0.470	3.324	NaN	NaN
forest	all	0.984	0.095	0.329	0.418	3.090	0.463	3.409

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.120	0.520	0.526	3.324	NaN	NaN
elr	winter 2016	0.989	0.080	0.456	0.505	2.661	0.536	4.715
baseline	winter 2017	0.990	0.075	0.395	0.466	2.392	NaN	NaN
elr	winter 2017	0.990	0.100	0.319	0.432	2.004	0.513	3.695
baseline	winter 2018	0.986	0.118	0.378	0.469	1.931	NaN	NaN
elr	winter 2018	0.972	0.176	0.316	0.419	1.825	0.519	3.601
baseline	winter 2019	0.993	0.000e+00	0.284	0.405	2.289	NaN	NaN
elr	winter 2019	0.993	0.059	0.262	0.406	1.445	0.519	3.579
baseline	all	0.990	0.086	0.400	0.470	3.324	NaN	NaN
elr	all	0.986	0.112	0.345	0.444	2.661	0.523	3.943