GMS location: 103

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.111	0.427	0.476	2.399	NaN	NaN
forest	winter 2016	0.977	0.083	0.366	0.422	2.221	0.513	2.910
baseline	winter 2017	0.991	0.048	0.518	0.506	2.371	NaN	NaN
forest	winter 2017	0.991	0.024	0.388	0.434	2.443	0.501	2.876
baseline	winter 2018	0.984	0.161	0.458	0.478	2.899	NaN	NaN
forest	winter 2018	0.984	0.097	0.415	0.462	2.704	0.515	3.033
baseline	winter 2019	0.985	0.000e+00	0.253	0.356	1.813	NaN	NaN
forest	winter 2019	0.985	0.000e+00	0.192	0.332	1.282	0.500	2.422
baseline	all	0.987	0.092	0.416	0.457	2.899	NaN	NaN
forest	all	0.983	0.058	0.344	0.414	2.704	0.508	2.822

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.111	0.427	0.476	2.399	NaN	NaN
elr	winter 2016	0.982	0.083	0.406	0.478	2.274	0.606	4.951
baseline	winter 2017	0.991	0.048	0.518	0.506	2.371	NaN	NaN
elr	winter 2017	0.982	0.024	0.443	0.482	2.337	0.545	3.717
baseline	winter 2018	0.984	0.161	0.458	0.478	2.899	NaN	NaN
elr	winter 2018	1.000	0.065	0.412	0.468	2.706	0.580	3.891
baseline	winter 2019	0.985	0.000e+00	0.253	0.356	1.813	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.232	0.384	1.287	0.550	3.206
baseline	all	0.987	0.092	0.416	0.457	2.899	NaN	NaN
elr	all	0.989	0.050	0.377	0.456	2.706	0.573	4.027